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Tag Archives: tools

Equifax will pay $640 million for Kount’s AI-driven identity and fraud prevention tools

January 9, 2021   Big Data
 Equifax will pay $640 million for Kount’s AI driven identity and fraud prevention tools

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Equifax announced today that it would pay $ 640 million to acquire Kount, a company that uses artificial intelligence to drive its fraud prevention and digital identity services. In a press release, Equifax executives said the deal would allow the company to further expand into these markets.

Kount uses AI to analyze 32 billion transactions across 17 billion devices. As the system builds its intelligence, it is shifting from just analysis to predictive modes with the goal of helping companies prevent digital fraud.

“As digital migration accelerates, managing authentication and online fraud while optimizing the consumer’s experience has become one of our customers’ top challenges,” said Equifax CEO Mark Begor in a statement. “Our data and technology cloud investments allow us to quickly and aggressively integrate new data and analytics assets like Kount into our global capabilities and bring new market-leading products and solutions to our customers.”

Kount, founded in 2007, is representative of the hopes enterprises have that AI and machine learning can be used to help scale defenses to meet the rising challenges and resources behind cyberattacks.

In this case, Kount’s AI determines the trustworthiness of any identity used to create an account, attempt to login a, or make a payment. By allowing businesses to fine-tune the level of trust they want in their systems, they can decide on the percentage of transactions that are blocked and transferred to customer service.

The goal is to lower that percentage, which accelerates the rate of transactions approved, while still minimizing fraud and chargebacks. Equifax said Kount products would eventually become part of its own Luminate fraud platform.

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How to Leverage CRM Predictive Analytics Tools to Improve Sales

August 24, 2020   CRM News and Info
crmnav How to Leverage CRM Predictive Analytics Tools to Improve Sales

Predictive analytics takes CRM data and uses it to make predictions about future events. In terms of sales, predictive analytics looks at information from the entire customer life cycle to predict how customers will behave, such as whether or not they will convert.

As technology evolves and the world becomes more engaged digitally, you need to know your customers and prospects better than they know themselves. This helps you tell them what they need well before they realize it on their own. By leveraging CRM predictive analytics, businesses are able to connect and engage with existing and potential customers in a new and much more effective way.

While existing customers and potential customers are always waiting to have a need fulfilled, the question is – are you prepared to sell at the right time, in the right place, and using the right channel? How do you make sure each sale happens at the right moment? How do you ascertain each interaction provides a value-added experience for you and them?

The Need for CRM Predictive Analytics

Meeting your annual sales targets is critical to the success of your organization. This requires you to accurately forecast your sales revenue in order to make informed decisions and accelerate opportunities. Microsoft Dynamics 365 CRM’s predictive analytics models (built on Azure Machine Learning and algorithms such as latent semantic analysis and regression analysis) augment human judgment with seller feedback and ongoing model retraining, which results in analytics-based insights. These analytics capabilities help your sales executives to better plan and prioritize their opportunity pipelines and improve their forecast accuracy.

While your sales force is the best judge of whether or not your organization will win a deal or how successfully (or poorly) an opportunity is progressing, there are a host of data-related challenges that they face that hinders them in making the right sales decisions. Some of the top challenges include:

  • The presence of humongous amounts of customer data – with practically no insights
  • No access to valuable data that can help improve forecasting accuracy
  • Absence of predictive capabilities in modern tools that results in disconnected experiences – with reduced productivity and increased inefficiency
  • The incompleteness of CRM data in systems hampers good quality predictions (machine learning tools learn and train from complete, useful, accurate data)
  • Data is tied to monthly and quarterly business tasks (data is typically entered during specific times, leading to insufficient real-time data)

Modernizing sales and marketing capabilities requires you to adopt customized sales solutions that streamline seller tasks – solutions that are built on advanced analytics models that increase the ability of your salespeople to make informed decisions, provide data about each customer opportunity (based on telemetry and visualization), and offer suggestions for specific actions. Access to advanced analytics supplements their decision-making abilities, enabling them to rethink and revamp their judgments. Having a better understanding of the risks in your pipelines allows you to adjust schedules and take advantage of hot opportunities.

Improving Sales with CRM Predictive Analytics Tools

IDC predicts that worldwide revenues for big data and business analytics will grow from $ 130.1 billion in 2016 to more than $ 203 billion in 2020. Predictive analytics methodologies make use of millions of previous opportunities sellers have worked on over the past couple of years and calculate near real-time opportunity win/loss predictions with sophisticated machine-learning algorithms. By aggregating end-to-end sales information and feeding it into predictive analytics models, you can receive powerful analytics-based insights and recommendations.

Key Capabilities of CRM Predictive Analytics

CRM predictive analytics can improve sales outcomes by enabling businesses to:

  • Get an end-to-end view of the sales processes and desired outcomes
  • Enable your sales staff (sellers, managers, and executives) to spend more focused time on customer-facing activities
  • Get actionable suggestions along with opportunity indicators to drive sales in the right direction
  • Leverage historical data to get concrete, analytics-based advice to finalize deals
  • Get perspective and anticipate pain points before customers even realize they exist
  • See which opportunities are hot, warm, or cold and get recommendations for data-driven actions
  • Provide feedback to the tool and help improve recommendations (and value) the tool provides

With Dynamics 365, you can build and attach your own predictive model using Azure Machine Learning. Leverage the sophisticated predictive technology to have your historical data (sales orders) analyzed, while also easily evaluating your sales pipeline for positive outcomes.

Final Thoughts

Make the most of these predictive analytics tools by offering a way to engage with clients, learn more about individual opportunities, and improve sales productivity and customer satisfaction. With predictive analytics, you can take your CRM game to the next level and enjoy unprecedented profits in the long run.

To discover how a technology partner can help your business maximize CRM predictive analytics capabilities to meet your specific needs, contact an expert at Synoptek.

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Connect your #PowerBI desktop model to #Tableau Desktop via External Tools in PowerBI

August 22, 2020   Self-Service BI

I recently created an external tool to PowerBI desktop that connects your Power BI desktop model to Excel (https://eriksvensen.wordpress.com/2020/07/27/powerbi-external-tool-to-connect-excel-to-the-current-pbix-file/) and then I thought – could we also have a need for an external tool that could open the desktop model in Tableau desktop.

So, I downloaded a trial version of the Tableau Desktop to see what is possible.

And sure, enough Tableau can connect to Microsoft Analysis Services and therefor also the localhost port that Power BI Desktop uses.

082020 1030 connectyour1 Connect your #PowerBI desktop model to #Tableau Desktop via External Tools in PowerBI

We can also save a data source as a local data source file in Tableau

082020 1030 connectyour2 Connect your #PowerBI desktop model to #Tableau Desktop via External Tools in PowerBI

Which gives us a file with a tds extension (Tableau Data Source)

082020 1030 connectyour3 Connect your #PowerBI desktop model to #Tableau Desktop via External Tools in PowerBI

When opening the file in Notepad we can see the connection string and some extra data about metadata-records.

082020 1030 connectyour4 Connect your #PowerBI desktop model to #Tableau Desktop via External Tools in PowerBI

It turns out that the tds file does not need all the meta data record information – so I cleaned the tds file to contain

082020 1030 connectyour5 Connect your #PowerBI desktop model to #Tableau Desktop via External Tools in PowerBI

Opening this file from the explorer will open a new Tableau Desktop file with the connection to the specified model/database/server.

The external tool

Knowing this I could create an external tool the same way as my Excel connector.

First create a PowerShell

OBS – in order to run a powershell script on your pc you need to have to set the execution policy – https://go.microsoft.com/fwlink/?linkid=135170

The PowerShell script

Function ET-TableauDesktopODCConnection
{  

	[CmdletBinding()]
    param
    (
        [Parameter(Mandatory = $  false)]        
		[string]
        $  port,
        [Parameter(Mandatory = $  false)]        
		[string]
        $  database,
        [Parameter(Mandatory = $  false)]        
		[string]
        $  path	
    )
    
        $  tdsXml = "<?xml version='1.0' encoding='utf-8' ?>
<datasource formatted-name='LocalPowerBIDesktopFile' inline='true' source-platform='win' version='18.1' xmlns:user='http://www.tableausoftware.com/xml/user'>
  <document-format-change-manifest>
    <_.fcp.SchemaViewerObjectModel.true...SchemaViewerObjectModel />
  </document-format-change-manifest>
  <connection authentication='sspi' class='msolap' convert-to-extract-prompted='no' dbname='$  database' filename='' server='$  port' tablename='Model'>
</connection>
</datasource>"   
                
        #the location of the odc file to be opened
        $  tdsFile = "$  path\tableauconnector.tds"

        $  tdsXml | Out-File $  tdsFile -Force	

        Invoke-Item $  tdsFile

}

ET-TableauDesktopODCConnection -port $  args[0] -database $  args[1] -path "C:\temp"

The script simply creates a tableauconnectort.tds file and stores it in C:\temp – and the xml content in the file is dynamically referenced as arg(0) and arg(1) when the external tool is called from Power BI Desktop.

Save the script in C:\temp and call it ConnectToTableau.ps1.

The OpenInTableau.pbitool.json file

Next step was to create a pbitool.json file and store it in C:\Program Files (x86)\Common Files\Microsoft Shared\Power BI Desktop\External Tools

{
  "version": "1.0",
  "name": "Open In Tableau",
  "description": "Open connection to desktop model in Tableau ",
  "path": "C:/Windows/System32/WindowsPowerShell/v1.0/powershell.exe",
  "arguments": "C:/temp/ConnectToTableau.ps1 \"%server%\" \"%database%\"",
  "iconData": "data:image/png;base64,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"
}

Test it

Now restart your Power BI desktop and the external tool should be visible in the ribbon

082020 1030 connectyour6 Connect your #PowerBI desktop model to #Tableau Desktop via External Tools in PowerBI

Then open a pbix file with a model and hit the button.

A PowerShell screen will shortly be visible and then Tableau opens the tds file and now we have a new tableau book with a connection to active power bi desktop datamodel.

082020 1030 connectyour7 Connect your #PowerBI desktop model to #Tableau Desktop via External Tools in PowerBI

And we can start to do visualizations that are not yet supported in Power BI –

082020 1030 connectyour8 Connect your #PowerBI desktop model to #Tableau Desktop via External Tools in PowerBI

How can you try it

You can download the files needed from my github repository – link

Feedback

Let me know what you think and if possible share some of the viz that you make.

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Erik Svensen – Blog about Power BI, Power Apps, Power Query

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AI tools could improve fake news detection by analyzing users’ interactions and comments

June 1, 2020   Big Data
 AI tools could improve fake news detection by analyzing users’ interactions and comments

In a paper published on the preprint server Arxiv.org, researchers affiliated with Microsoft and Arizona State University propose an approach to detecting fake news that leverages a technique called weak social supervision. They say that by enabling the training of fake news-detecting AI even in scenarios where labeled examples aren’t available, weak social supervision opens the door to exploring how aspects of user interactions indicate news might be misleading.

According to the Pew Research Center, approximately 68% of U.S. adults got their news from social media in 2018 — which is worrisome considering misinformation about the pandemic continues to go viral, for instance. Companies from Facebook and Twitter to Google are pursuing automated detection solutions, but fake news remains a moving target owing to its topical and stylistic diverseness.

Building on a study published in April, the coauthors of this latest work suggest that weak supervision — where noisy or imprecise sources provide data labeling signals — could improve fake news detection accuracy without requiring fine-tuning. To this end, they built a framework dubbed Tri-relationship for Fake News (TiFN) that models social media users and their connections as an “interaction network” to detect fake news.

Interaction networks describe the relationships among entities like publishers, news pieces, and users; given an interaction network, TiFN’s goal is to embed different types of entities, following from the observation that people tend to interact with like-minded friends. In making its predictions, the framework also accounts for the fact that connected users are more likely to share similar interests in news pieces; that publishers with a high degree of political bias are more likely to publish fake news; and that users with low credibility are more likely to spread fake news.

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To test whether TiFN’s weak social supervision could help to detect fake news effectively, the team validated it against a Politifact data set containing 120 true news and 120 verifiably fake pieces shared among 23,865 users. Versus baseline detectors that consider only news content and some social interactions, they report that TiFN achieved between 75% to 87% accuracy even with a limited amount of weak social supervision (within 12 hours after the news was published).

In another experiment involving a separate custom framework called Defend, the researchers sought to use as a weak supervision signal news sentences and user comments explaining why a piece of news is fake. Tested on a second Politifact data set consisting of 145 true news and 270 fake news pieces with 89,999 comments from 68,523 users on Twitter, they say that Defend achieved 90% accuracy.

[W]ith the help of weak social supervision from publisher-bias and user-credibility, the detection performance is better than those without utilizing weak social supervision. We [also] observe that when we eliminate news content component, user comment component, or the co-attention for news contents and user comments, the performances are reduced. [This] indicates capturing the semantic relations between the weak social supervision from user comments and news contents is important,” wrote the researchers. “[W]e can see within a certain range, more weak social supervision leads to a larger performance increase, which shows the benefit of using weak social supervision.”

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IBM makes AI tools and resources available to coronavirus researchers

April 5, 2020   Big Data

IBM today announced the launch of services intended to furnish researchers with resources to fight the novel coronavirus. The company made molecules identified by AI as therapeutic candidates available under an open license, and it introduced a free version of its Functional Genomics Platform to support genome features discovery. Additionally, it provided free access to over 1,000 pieces of evidence-based curated COVID-19 and infectious disease content, and it rolled out an AI search engine trained on the COVID-19 Open Research Dataset to allow researchers to quickly find answers to questions.

According to Dario Gil, director of IBM Research, IBM created a new AI-generative framework that can rapidly create novel peptides, proteins, drug candidates, and materials, which it applied against three targets to create 3,000 new small molecules as potential COVID-19 therapeutic candidates. Researchers can study them via an interactive tool to understand their characteristics and relationship to COVID-19, and to identify molecules that might have desirable properties to be pursued in drug development.

“The traditional drug discovery pipeline relies on a library of compounds that are screened, improved, and tested to determine safety and efficacy,” said Gil. “In dealing with new pathogens such as SARS-CoV-2, there is the potential to enhance the compound libraries with additional novel compounds.”

The Functional Genomics Platform complements this with a cloud-based repository of genes, proteins, and other molecular targets from sequenced viral and bacterial organisms, with connections precomputed to help speed up the discovery of molecular targets required for drug design, test development, and treatment. Researchers working on COVID-19 can now request access to the interface; previously, it was only available to government agencies, academic institutions, and other organizations for bacterial study.

In a related development, starting today, clinicians and health care workers will gain access to COVID-19 content from IBM: Micromedex and EBSCO DynaMed, two holistic drug information and medical decision support platforms. (Micromedex is used by more than 4,500 hospitals and health systems worldwide, while DynaMed provides peer-reviewed clinical content including literature reviews in 28 specialties.) They’ll be able to take advantage of state-of-the-art drug and disease data and provide patients with educational handouts containing actionable information.

 IBM makes AI tools and resources available to coronavirus researchers

Lastly, IBM says it trained an AI search system on the COVID-19 Open Research Dataset, which contains thousands of scientific papers prepared by the White House and a coalition of research groups, in addition to licensed databases from DrugBank and GenBank. The freely available tool extracts embedded text, tables, and graphics to answer specific queries from vetted researchers.

Watson Assistant for Citizens’ debut comes after IBM made available a map on The Weather Channel to track the spread of COVID-19, mainly using data from governments as well as the World Health Organization. The company also built a dashboard on top of its Cognos Analytics suite that’s designed to help researchers, data scientists, and media analyze and filter coronavirus information down to the county level.

IBM this week debuted a chatbot that answers coronavirus questions by phone or text, and last week, the company announced it would coordinate an effort to make supercomputing capacity available to researchers in order to help identify treatments, viable mitigation strategies, and vaccines for COVID-19. IBM also launched a new Call for Code Global Challenge that will encourage developers to build open source technologies that address several areas, including crisis communication during an emergency, ways to improve remote learning, and how to inspire cooperative local communities.

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The Digital Workforce Experience: The Shift From HR Tools To Employee Tools

February 10, 2020   BI News and Info
 The Digital Workforce Experience: The Shift From HR Tools To Employee Tools

Workforce expectations for employers have evolved faster than organizations have evolved. A significant element of this is that the workforce expects digitalization in the workplace to reflect the consumer digital experience they are so familiar with outside work. We perform daily essential functions from our smartphones, such as banking, socializing, sharing photos, shopping, etc.

This consumer digital experience is what we’ve become accustomed to in our daily lives and has led to a harmonization of user expectations for technology. Quite reasonably, the workforce now expects a similar experience with the tools they use at work to manage their data, careers, performance, benefits, and collaboration with the speed, personalization, and interactivity they experience outside work.

To meet these expectations, HR needs to provide the workforce with tools that are Google fast, Apple cool, and Amazon simple. Imagine how this would change the world of work and the level of engagement, performance, and contribution. Imagine if employees were engaged to work like consumers are engaged to buy.

Critical to achieving this is a shift from deploying “HR tools” to “employee tools”; that is, from technology designed to support HR users to technology designed to also support, empower, and enable the workforce.

In the past, HR technology has focused primarily on improving back-office activities for HR users. Designed to support transactions, rather than interactions, this approach results in fragmented, siloed technology that conflicts with how people actually work. Now, the focus is on empowering business leaders, managers, and workers with mobile, intuitive, consumer-grade tools enabling them to connect and network, anytime, anywhere, from any device, and own their careers and development. This people-centric approach is based on workforce experiences, not transactional efficiency.

To achieve this shift to people-centric “employee tools” involves understanding the needs, preferences, and behaviors of the workforce (the consumers of HR services) and building these into HR technology requirements specifications.

Why, then, do so few organizations involve employees and managers when they are defining requirements for new HR technology? Why are employees and managers almost never involved in system selection activities and, once a solution has been selected, rarely seen in solution design workshops? Too often, HR defines technology requirements based on HR needs and what HR believes managers and the wider workforce need. This approach delivers solutions that meet HR requirements, not employee and manager requirements, and consequently fail to be fully adopted by the workforce, managers, and business leaders and fail to deliver the desired business outcomes and benefits. This is a huge missed opportunity to deploy tools that deliver value to the business, empower and engage the workforce, and improve workforce and business performance.

HR can gain this understanding of employee and manager priorities, drivers, and behaviors through interviews, workshops, and design thinking sessions, but to yield optimum benefits, the focus should include key “moments that matter” for employees, such as the first day at work, the onboarding experience, life-changing events like having a child, development events, and all other interactions. Through this approach, an understanding of the desired employee experience, rather than purely a transactional perspective, can be built up, and this will provide a deeper and richer picture of the solutions that will best engage and support the workforce, support performance improvement, and deliver value to the business.

Successful approaches typically involve the building of personas that represent the consumers of HR services. These could include a new hire, full-time employee, manager, HR business partner, etc. Once satisfied that the personas are representative of the organization’s population, they can be used to create solutions requirements that can be tested across the business to determine their validity and allow further refinement to both the personas and the solution requirements.

Ideally, an element of the system selection process would then involve employee and manager evaluation of potential solutions. This approach will lead to the selection of solutions that support the business and deliver business outcomes rather than solutions that primarily support the HR user.

Workforce expectations are changing, and it’s imperative that organizations progress from leveraging “HR tools” and invest in “employee tools” that empower, engage, and enable the workforce to work digitally and improve business performance. To do this requires a mindset change in HR and a laser focus on human experience management (HXM).

Read the IDC InfoBrief “A Fresh Vision for Human Capital Management” to explore how organizations do better with people at the heart of the business, covering areas such as evolving the employee ecosystem, personalized growth and talent strategy, and work experience management.

This article originally appeared on HR Grapevine.

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Iguazio raises $24 million for AI development and management tools

January 27, 2020   Big Data
 Iguazio raises $24 million for AI development and management tools

AI adoption levels are higher than they’ve ever been in the enterprise. According to a January survey conducted by Gartner, corporate use of AI grew 270% over the past four years. But developing, deploying, and managing AI applications at scale requires a platform that supports doing so, which is what startup company Iguazio provides. Its investors believe it has legs: Iguazio announced that it has secured $ 24 million in a funding round led by INcapital Ventures with participation from existing and new investors including Samsung SDS, Kensington Capital Partners, Plaza Ventures, and Silverton Capital Ventures, bringing its total raised to around $ 75 million following a $ 33 million series B in July 2017.

“This is a pivotal time for AI. Our platform helps data scientists push the limits of their real-time AI applications and see their impact in real business environments,” said CEO Asaf Somekh, who cofounded Iguazio in 2014 with former senior software developer and architect Orit Nissan-Messing and Voltaire colleagues Yaron Haviv and Yaron Segev. “With support from INcapital, Kensington Capital Partners, and our other investors, we are ready to expand our international team and reach our ambitious goals.”

Iguazio’s product suite collects data and preps it offline or offline, accelerating and automating AI model training for deployment via APIs. Event-driven streaming, time series, NoSQL, SQL, and files are among the types supported, which can be explored and manipulated by a real-time data layer that lets admins use a variety of protocols and concurrently read the data with third-party analytics and data science frameworks.

Nuclio, Iguazio’s open source serverless framework, streamlines machine learning pipeline steps like packaging, scaling, tuning, instrumentation, and continuous delivery with features like rolling upgrades, A/B testing, logging, and monitoring. Its MLRun open source framework parallelizes work within a single pod by wrapping engines around tools like Spark, Google’s Tensorflow, Horovod, and Nuclio, and it handles a range of triggers including HTTP and cron.

The Iguazio suite — which runs as in-memory databases on flash memory — continuously trains models in a production-like multi-cloud or hybrid cloud environment, dynamically scaling graphics cards, processors, and memory and automatically tracking code, metadata, inputs, and outputs of executions in a reproducible fashion. (Admins can track the elements of all running jobs as well as historical jobs and store them in a single report.) The platform can run multiple experiments simultaneously and select the best model, and it facilitates the migration of this model from an integrated development environment to production.

Enterprise customers get an integrated offering they set up through wizards that help configure administration policies and notifications. Managers securely share data by providing direct access to it, so that employees are exposed to different elements according to predefined rules. The data layer classifies transactions with a built-in firewall that provides fine-grained policies to control access, service levels, multi-tenancy, and data life cycles, and that enables organizations to collaborate and govern across apps and business units without compromising security or performance.

There’s no shortage of orchestration platforms in the over $ 1.5 billion global machine learning market. Amazon recently rolled out SageMaker Studio, an extension of its SageMaker platform that automatically collects all code and project folders for machine learning in one place. Google offers its own solution in Cloud AutoML, which supports tasks like classification, sentiment analysis, and entity extraction as well as a range of file formats, including native and scanned PDFs. Not to be outdone, Microsoft recently introduced enhancements to Azure Machine Learning, its service that enables users to architect predictive models, classifiers, and recommender systems for cloud-hosted and on-premises apps, and IBM has a comparable product in Watson Studio AutoAI.

That’s not to mention rival startups like San Francisco-based Databricks and Explorium, which provide suites of enterprise-focused scalable data science and data engineering tools. But Somekh is confident in the robustness of the Iguazio platform, which he claims prevents 60% of faults and serves up to 500 real-time recommendations per second.

To this end, one new customer — digital payment platform Payoneer — recently deployed a proactive fraud prevention solution across four million accounts using Iguazio’s tools.

“Iguazio’s unique technology facilitates the data science creation process from start to finish, enabling enterprises to deploy AI applications that create real business impact,” said Kensington Capital Partners chairman Tom Kennedy. “With the opportunities we are seeing for machine learning technology and the global success stories emerging from this high-tech nation, Iguazio represents a great first investment for Kensington in an Israeli company.”

Iguazio is based in Herzliya, Israel, and has offices in the U.S., U.K., and Singapore.

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4 Marketing Automation Tools for SMB Success in 2020

January 15, 2020   CRM News and Info

Marketing automation isn’t a thing of the future — it’s very much a part of the here and now for small and midsized businesses (SMBs) across the world. However, many are unaware of a variety of marketing automation tools that can help SMBs reach customers in a timely and effective way.

In order for SMBs to compete with larger firms when it comes to customer reach, they need to approach their marketing plan with a strategic mindset.

Marketing automation not only provides important opportunities for interaction with the customer, but also saves time. That’s especially important when running a small business. Time saved on marketing means being able to capture new business and have more time to commit to other vital tasks.

Following are just a few of the many benefits marketing automation provides:

  • Drives sales productivity;
  • Helps guide sales and marketing teams work together for a common goal;
  • Increases conversions;
  • Boosts ROI by doing the work of a large marketing staff; and
  • Compiles a complete view of customer behavior.

If you’re interested in taking advantage of marketing automation but don’t know where to start, consider these four marketing automation solutions geared toward SMBs.

1. One-Stop Social Media Shop

A social media management tool can be indispensable to small businesses trying to make the most out of their online presence. Having effective and timely social content is imperative in 2020, as many customers are more likely to buy from brands they follow on social media and to increase their spending with those brands.

Securing a tool that will help manage this important customer connection is essential. This type of tool prevents you from having to post at an exact time across multiple platforms, and instead lets you schedule content in advance.

That means businesses can plan their social media a week or month out, and not worry about interrupting their weekends, holidays and busy workdays to post on social sites. These programs also can provide SMBs the opportunity to create an organized posting strategy, analyze performance and respond to customers across multiple platforms from one easy-to-use interface.

2. CRM With Email Marketing

Capturing important customer information in one localized place can help SMBs deliver an excellent customer experience and boost sales revenue. The right customer relationship management software can track all customer interactions and purchases. Some even offer predictive analytics technology that can help determine potential next steps and drive transactions.

You’ll also want a CRM that integrates email marketing automation, which will enhance the customer experience and increase the success rate of your email and follow-up campaigns. Email is a fantastic way to reach customers because it requires the reader to opt-in and allows for several layers of personalization.

Marketers potentially can see a return of US$ 32 for every $ 1 spent on email marketing, research indicates, so having a CRM that facilitates this type of communication is imperative.

3. Would You Like to Take a Survey?

Customer feedback is a vital way for companies to improve. Small businesses often can achieve significant growth simply by soliciting — and heeding — the feedback of their customers. The challenge is that in-depth market research can be costly.

Enter the online survey! This tool allows SMBs to gain valuable insights from customers without having to invest in lengthy market research programs. An online survey is convenient for the consumer and allows the data to be tracked and analyzed for insights.

Do your customers like your most recent product upgrade? Is the packaging holding up during shipping? Do they feel the product was represented accurately online? How was their experience with your customer service associate?

All of these questions and more can be answered through a short online survey. Small businesses can create different surveys for different customer interactions, allowing for customized feedback to propel growth.

4. Let’s Chat

Chat is another marketing automation tool that can strengthen the customer journey. Through the power of artificial intelligence, a chatbot gives a personalized experience and can field a variety of frequently asked customer questions directly from your website.

Chatbots also can gather customer data for future marketing efforts, as well as help businesses reach their sales goals. A chatbot gives customers an instant response to their requests and can send links to make a purchase, or transfer customers to a live associate if needed.

The Year of Automation

2020 is here and it’s time to embrace the new decade with the tools that will set up your business for sustained success in the new decade. Small businesses that invest in, and take advantage of, these four marketing automation solutions will be more likely to see the sales results and ROI they want this year.

Marketing automation offers a variety of benefits, including time savings, the ability to drive more meaningful customer interactions that lead to transactions, and the opportunity to gain customer feedback and track behavior. These four automated tools can help pave an SMB’s path to success in 2020 and beyond.
end enn 4 Marketing Automation Tools for SMB Success in 2020


Chad Ruff is chief technology officer at
Swiftpage, which provides the cloud-enabled CRM and marketing automation platform
Act!.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

December 22, 2019   Sisense

With data growing at a staggering rate, managing and structuring it is vital to your survival. In our Event Spotlight series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. In this piece, we detail the Israeli debut of Periscope Data.

Driving startup growth with the power of data

Growth. It’s the aspiration of every startup. The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results.

This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation. We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn.

sisense blog the rise of the data teams 20191212 bl 01blog banner Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

An exciting slate of presentations took them on a journey from why to how they should use data analytics to optimize their operations successfully and maximize their business opportunities.

There are plenty of opportunities for startups, but huge challenges too, with more than 50 percent of US startups failing to last longer than four years. That’s why it has become increasingly vital for companies to leverage fresh data and deploy accurate analytics, so they can make smarter decisions that will enable them to prosper. Data teams have become the key to many organizations’ success, and the transformation of data into insights is now a critical business process, as Sisense Israel Sales Country Manager, Davidi Boyarksi, explained in his introduction.

Periscope Data provides the ideal platform for data teams to establish an effective analytics environment in the type of emerging companies that are so prevalent in Israel. It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv.

What VCs want from startups

The day’s first guest speaker, Itzik Parnafes, General Manager of global technology-focused VC investor Battery Ventures, set the scene, with an enlightening overview of the KPIs that VCs focus on during startup growth. He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales, costs and projections, and more. The importance of giving this information to VCs reinforces how significant a role data plays in measuring and predicting growth and enabling companies and investors to gain insights that drive growth.

Itzik 513x770 Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools
Itzik Parnafes, Battery Ventures

The rise of the data team: from startup to unicorn

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data.

He talked through how the mind-blowing escalation of data and the drastic reduction in the cost of its storage has led to more complex, sophisticated uses of data and a shift in the way it’s managed and consumed. And he explained that the leap to visual-based data discovery put analytics in the hands of data experts working in different lines of business, rather than in IT, where bottlenecks could previously occur, and reporting could take much longer.

Scott outlined how this change has driven a shift in the role of data teams, who now occupy strategic business positions. These teams now play a far more significant part in shaping company strategy than ever before, because the opportunity of Big Data necessitated skilled data professionals not just to crunch the numbers but to find value in the information. Scott said:

Periscope Data’s mission is to turn data teams into super heroes because we see our role as unlocking the potential that data teams already have.

Scott Castle, Sisense General Manager, Data Business

Scott 2 770x513 Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

And he emphasized why they should be treated differently. They’re no longer simply a repository for information. Instead they operate as an engine for transforming their organizations, using predictive technologies to answer business questions that shape decisions, roadmaps, and future strategies. He concluded that data teams can influence the transformation of startups into unicorns. A platform like Periscope Data is what makes this happen, by elevating data’s prominence and the role of data teams beyond merely a source of visual-based data discovery.

Responding to Scott’s presentation, attendees from AppsFlyer, Ziv Ben Naim, Client Services Analytics & Strategy Lead, and Maayan Dukas Kfir, Data Analyst had this to say:

It has been good to get aligned with what’s out there from a data team’s point of view. We really liked Scott’s story of the development of BI and Big Data and the vision he presented. It was interesting to get such a data orientated perspective, today, and as data specialists, it really resonated with us.

Ziv Ben Naim, Client Services Analytics & Strategy Lead, AppsFlyer
Maayan Dukas Kfir, Data Analyst, AppsFlyer

The impact on customers

The impact of the changes in the data ecosystem has already taken effect in numerous startup customers in Silicon Valley, and Kyle Dempsey, Senior Sales Engineer at Sisense shared some great examples of how Periscope Data has helped them grow from infancy to unicorn. Quoting Keystone Research, he opened with the finding that:

Companies who use data effectively have 18% higher gross margins and 4% higher operating margins

Keystone Research

And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI. Citing Tinder as a major example, Kyle explained how it constantly uses data to enhance users’ interactions and calibrate the user experience. No surprise then that Tinder beat Netflix to become the highest-earning non-game app on both Google Play Store and the Apple Store.

Similarly, Kyle outlined how Flexport, the world’s first international freight forwarder and customs brokerage built around an online dashboard, uses Periscope Data to analyze billions of records, and get answers in seconds. Periscope Data enables Flexport to investigate critical business issues, identify opportunities and recommend ways to streamline business and operational processes by providing the company with the fastest time to insight, and powerful capabilities to answer any business questions, whether they derive from BI reporting, advanced analytics, or data prep for machine learning. Kyle said:

We empower data analysts to create more business value than any other BI platform.

Kyle Dempsey, Senior Sales Engineer, Sisense

These customer examples demonstrated how impactful smart data management and analytics can be for every part of customer organizations, from data teams to marketing, sales, and beyond. Another of Kyle’s case studies reinforced this point: Oscar Health, a disruptor in the private health insurance sector. The company has integrated data analysis throughout its organization to power decision making. From a startup in 2012, it is now valued at $ 3.2 billion. A true unicorn.

Optimizing data pipelines: How Kongregate uses Periscope Data

All these presentations provided rich food for thought, but there was more to follow. We were delighted to welcome Max Murphy, Software Engineering Manager for one of our customers, Kongregate, a leading mobile and PC game developer, publisher, and web gaming portal.

Kongregate has been using Periscope Data since 2013. Max demonstrated how Periscope Data enabled Kongregate to replace its ETL (extract, transform, load) system and apply software development best practices from end to end. The key element was standardizing its data pipeline from event source to charts, enabling Kongregate to gather, manage, and analyze a larger volume of data from across all data sources.

Additionally, Max discussed how embedded analytics offers huge benefits both to the company and third-party developers with whom they partner. He explained:

The big piece is embedding analytics in the Kongregate platform so game developers can see the performance of their games

Max Murphy, Software Engineering Manager, Kongregate.

The easy set-up and access to embedded analytics enable them to measure KPIs, get game statistics, monetization and retention statistics that help them to optimize players’ experience, hone best practices and benchmarks, and maximize stickiness and profitability.

Diving deeper into the datasphere: Data lakes — best practices

The day’s journey from the “why” through the “how” of data analytics then continued. We dived deeper into the mechanics of building the most efficient data pipelines to access and deliver data for analysis, even with the challenges of Big Data.

Omid Vahdaty, CTO of Jutomate Ltd., shone the spotlight on best practices with data lakes. As a specialist in Big Data solution architecture and systems engineering, Omid shared lessons from his extensive experience designing systems in startup environments. He addressed the challenges presented by today’s huge volume of data that’s enabled by cloud storage services. This data is often complex and difficult to model, particularly when it can be stored in both transformed and raw, structured, and unstructured formats. Omid discussed how to build data pipelines using data lake technologies, including the architecture and the guidelines needed to build your own data lake, using leading cloud vendors.

Omid Vahdaty, Jutomate

And extending this deep dive, Kyle stepped up once more to walk everyone through the ways Periscope Data handles data. His comprehensive demo showed how the SQL, R, and Python languages can be utilized and can work together to enable data teams to optimize performance.

This particular capability caught the attention of Dror Katz, Lead Data Analyst at Toluna (market research company), who was at the launch. He said:

We wanted to get familiar with new technology. We were familiar with Sisense before this event. It has been great to learn what capabilities Periscope Data has in comparison to other BI platforms. What stood out was the integration with Python and the added value that Periscope Data can offer.

Dror Katz, Lead Data Analyst at Toluna

And his views were reiterated by the AppsFlyer team attending the event, who learned about Periscope Data for the first time, and as a result, felt that:  

. . . now we know more about what tools we’re missing, specifically regarding the integration of Python, SQL and R, which we don’t have with our current tools.

Ziv Ben Naim, Client Services Analytics & Strategy Lead, AppsFlyer and Maayan Dukas Kfir, Data Analyst, AppsFlyer

How Namogoo built a data-driven culture with Periscope Data

Of course, seeing how Periscope Data works in practice adds more color to the theory. Our final guest, Ohad Greenshpan, Co-Founder and CTO of Namogoo, presented a fascinating case study. Namogoo is a SaaS company that helps online businesses prevent customer journey hijacking. Its technology detects and blocks unauthorized ads injected into consumer browsers that redirect website visitors to competitor products and promotions.

He explained how Namogoo has used Periscope Data to grow its business and develop a data-driven culture at the company. Using the platform has empowered its teams to identify opportunities and take ownership of developing strategies informed by insights. Ohad explained that it has helped them discover things that they never even thought about, which has beneficially influenced decisions. He articulated the biggest benefit of all in one of his closing remarks:

The power of Periscope is in its simplicity.

Ohad Greenshpan, Co-Founder and CTO of Namogoo

Making an impression

Our launch of Periscope Data in Israel clearly left a positive impression.  Dan Postar, CEO, Business Wise Solutions (Big Data and analytics consultancy), who already knows Sisense, said:

I think Periscope Data is a great addition to the Sisense capabilities. It was great to get an introduction to Periscope’s capabilities and an overview of what we can get from the Sisense suite.

Dan Postar, CEO, Business Wise Solutions

The event demonstrated that advanced BI and analytics are invaluable for startups facing intensified challenges from an environment that’s increasingly competitive and rich with data. Managing data so that organizations can more confidently make smart decisions is fast becoming a prerequisite for growth. 

Periscope Data is perfectly designed to help dynamic startups and fast-growing companies achieve this. It adds to the armory of innovations that gives Sisense the capability to support organizations at every stage of growth, from startups to enterprise to OEM.

We’re excited to have launched Periscope Data into this fertile market, and we look forward to the opportunity to help accelerate the growth of many fantastic businesses.

sisense blog the rise of the data teams 20191212 bl 01blog banner1 Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Adam Murray’s early career PR started in London, then moved on to New York and Tel Aviv. He’s spent the last ten years working with tech companies like Amdocs, Gilat Satellite Systems, and Allot Communications. He holds a Ph.D. in English Literature and when he’s not spending time with his wife and son, he’s preoccupied with his beloved football team, Tottenham Hotspur.

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PrecisionHawk raises $32 million for drone management and analytics tools

December 11, 2019   Big Data

There’s a reason firms in agriculture, energy, and industry are increasingly opting to adopt drone-based monitoring and analytics products: They promise to cut down on operational expenses while removing human inspectors from harm’s way. According to a recent report, flying drones cost between $ 200 and $ 300 per mile compared to conventional helicopter flights that cost upwards of $ 1,200 to $ 1,600 per mile. And the Centers for Disease Control reports that from 2003 to 2013, the number of work-related fatalities in the oil and gas extraction industry increased 27.6%, with a total of 1,189 deaths.

A cottage industry has emerged to meet the demand, and one of the startups at the forefront is Raleigh, North Carolina-based PrecisionHawk. Founded as WineHawk Labs in 2010, an unmanned aerial systems and remote sensing company for wine producers, it pivoted in 2013 to general drone solutions and consultancy. This was prescient — the Federal Aviation Administration (FAA) forecasts that the drone industry could triple between now and 2023, with an estimated 823,000 drones flying by that time. And perhaps unsurprisingly, PrecisionHawk hasn’t had much trouble convincing investors to fund its ventures.

PrecisionHawk today announced that it’s raised $ 32 million from venture investors including Millennium Technology Value Partners, Third Point Ventures, Eastward Capital Partners, and others, bringing its total raised to over $ 130 million following a $ 75 million series D in January 2018. CEO Michael Chasen, who was recently appointed by U.S. Secretary of Transportation Elaine Chao to chair the FAA’s Drone Advisory Committee, said the fresh capital will fuel the continued development of PrecisionHawk’s software offerings and the company’s sales and market expansion initiatives.

Above: PrecisionHawk: Roof damage assessment

PrecisionHawk offers an integrated platform of drone and sensor hardware, flight and analytics software, and services for businesses. The company helps clients to define their objectives and flight plans as well as their technology mix, and to tap turnkey flight software and a drone pilot network with over 15,000 licensed operators to collect and verify drone data. Clients can post offers for pilots on PrecisionHawk’s jobs board, which finds those with the appropriate skill level and facilitates payments and quality assurance. And they gain access to PrecisionAnalytics, a mapping and inspection solution that offloads data aggregation and annotation to machine vision, leveraging high-resolution imagery and GPS to produce models, measurements, and stitched-together maps.

For each customer, PrecisionHawk identifies the costs of solutions and forecasts a return on investment. Based on the area of interest, its flight operations leaders specify the necessary drones, sensors, and software before developing an approach that integrates with current operations and safety protocols. Then, they account for baseline quality requirements in orchestrating the overall program and — through partnerships with SAS, CapGemini, Salesforce, and consulting firms like Deloitte, McKinsey, and Booz Allen Hamilton — use third-party and in-house services and analytics to derive insights from collected data.

PrecisionHawk’s drone portfolio includes models from DJI, BirdsEyeView, and BFD. Sensors from MicaSense and others include lidar (with point clouds up to 500 points per square meter), thermal (which collects radiometric data), hyperspectral (which captures minerals and vegetation information), multispectral (which can see both visible and invisible light radiation), methane detection lasers, optical gas indicators, and RGB cameras. PrecisionFlight Pro, the complementary flight management software, helps to plan routes using a combination of digital elevation and 3D models.

PrecisionHawk’s drone management system lets program supervisors and operators input flight logs and track aircraft usage and maintenance, plus view hardware and pilot deployments as well as incident reports. On the analytics side of the equation, the firm’s solutions suite targets industry segments like distribution, transmission, oil and gas, and agriculture, automating the identification of component damage by cross-referencing uploaded imagery against distribution data. Furthermore, they automatically spot areas of concern such as cracked insulators, damaged cross arms, corrosion, leaning poles, pests, drought, and weeds, and they power services like plant counting, livestock health monitoring (from elevated body temperature), grove maturity estimation, volume measurements, and estimating plant vigor, leaf area, canopy cover, tree crown sizing, water quality, and more.

For instance, PrecisionAnalytics is able to generate a vegetative index, or an indicator of where plants in a field are healthy versus browning as a result of flooding, over-fertilization, or disease. A client can apply the index over collected aerial maps, which PrecisionHawk’s software calculates by ingesting the spectral values of each pixel and assigning a number representing plant health. PrecisionAnalytics offers a library of vegetation for a range of crops, and it sources from several vegetative indices (e.g., GRVI, VARI, NDVI, NDRE, SAVI, and ENDVI) to provide various means of assessing crop status.

The commercial drone market is edging toward becoming a $ 127 billion industry by 2020, according to PricewaterhouseCoopers, and there’s been a corresponding uptick in venture capital investment in drone-related companies. Indeed, an estimated $ 454 million was plowed into UAV startups in 2016 alone, which included the likes of San Francisco-based DroneDeploy and San Carlos-based Prenav. More recently, Kespry raised $ 33 million in December to help companies capture aerial imagery through drones; Iris Automation raised $ 8 million to help unmanned aircraft avoid collisions; and DroneDeploy raised $ 35 million to further develop its drone management and logistics tools.

PrecisionHawk has done well for itself despite the competition, with strategic investments from enterprise customers and partners including Comcast Ventures, DuPont, NTT Docomo, and Yamaha Motor. It now counts among its customer base five of the top 10 utility companies, the largest provider of communications infrastructure in the U.S., major providers of seed and agricultural chemicals, the United States Department of Agriculture, and North Carolina State University.

“This is an exciting time at PrecisionHawk and the commercial drone industry overall as adoption of drones continues to grow at exceptional rates,” said Chasen. “Our unique software and services deliver incredible value to our customers, equipping them with the highest level of aerial intelligence to meet their current and future asset management and operating needs. We are pleased with this latest round of funding which will help us better address this surging demand, particularly in the energy and agriculture markets, and lead us into sustained profitability and growth.”

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