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6 Smart & Essential Capabilities You Need to Sustain a Competitive Edge

March 16, 2021 TIBCO Spotfire

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To win in today’s data-driven competitive battlefield, you can rely on data scientists to understand not only what’s happening in the business in real-time—but more importantly—what is going to happen in the next second, minute, day, week, month, or even farther into the future.

However, there is a notable shortage of data scientists, which can limit your ability to benefit from the data-driven insights you need. Rather than spending time and money finding and hiring additional data scientists, or training business users to be data science do-it-yourselfers, maximize the impact of your current workforce with the most advanced data science tools.

Hyperconverged analytics is the fastest and easiest way to generate profound business insights in a tailored way, regardless of your team size or makeup. It allows data scientists to be more productive with technologies like automated machine learning (auto ML) without requiring them to be coding experts. Here are six capabilities of this technology to transform your business into a strategic leader:

1. Democratize Insights

You need to deliver actionable insights to the right individual, at the right time, within the right context. AI-infused applications go beyond the rearview mirror; they provide you with foresight, optimization, and what-if scenario analysis to ensure that you and your organization make the best possible decisions.

2. Eliminate Mundane Processes

Artificial Intelligence (AI) quickly surfaces insights from your data to automatically correlate and provide best-practice visualizations, eliminating the need for human intervention. This automation allows for fast insights for all business users and citizen data scientists.

3. Accelerate Productivity

Give your data scientists complete flexibility with an end-to-end data science and machine learning platform like TIBCO Data Science. This accelerates productivity by eliminating the need for code, allowing data scientists to collaborate with machine learning (ML) engineers efficiently.

4. Collaborate with the Cloud

Many data scientists look to platforms like Amazon, Google, and Microsoft to accomplish a variety of AI projects. With hyperconverged analytics, you can seamlessly use resources from any and all cloud providers, providing your organization with the ultimate flexibility.

5. Scale ML Ops

Create models with a data science and ML platform, and deploy, distribute, and monitor the models to target business systems. With model ops, you can create AI-infused business applications for any area of your company.

6. Take Visualization to the Next Level

Many business events and corresponding data are focused on specific locations. Visualizing the data on a map brings it to life, but new technology can do so much more. Depending on your use case, advanced spatial analytics can be used to understand and customize actions for factory floors, store layouts, human bodies, and much more.

Don’t Get Behind the Competition

Companies like Norfolk Southern and AA Ireland are already increasing operational efficiency, lowering costs, and making better business decisions with hyperconverged analytics. What are you waiting for?

Whether you are beginning your analytics journey, or are already an expert, hyperconverged analytics technology will help you accelerate your business. Check out this whitepaper to read more about how you can embed analytical findings and intelligence into all your business processes and empower your data scientists to outpace the competition.

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The TIBCO Blog

Teradata Extends Hybrid Multi-Cloud Capabilities as Customers Move More Workloads to the Cloud

December 21, 2020 BI News and Info

teradata extends hybrid multi cloud capabilities.jpg?width=640&height=336&ext= Teradata Extends Hybrid Multi Cloud Capabilities as Customers Move More Workloads to the Cloud

Teradata QueryGrid Expands Access to Data with Broad Ecosystem Connectivity Enabling Customers to Leverage Data as their Greatest Asset

Teradata (NYSE: TDC), the cloud data analytics platform company, today announced it is extending the hybrid multi-cloud capability of Vantage, enabling customers to access data and analytics across heterogeneous technologies and public cloud providers with new cloud-native capabilities. With the latest release of Teradata QueryGrid, Teradata customers can connect to a vast array of new data sources regardless of where the data resides – in the cloud, on multiple clouds, on-premises, or any combination thereof – for timely and cost-effective analytics.

As organizations increasingly move all or part of their data infrastructure to the cloud or multiple clouds, the number of different data sources and processing engines continues to increase, as does the demand for timely access to data. Companies need to be able to connect to, access and combine information from all data environments at the same time, and at scale, to enable truly effective analytics. This scalable, parallel access to data sources helps companies leverage data as their greatest asset, providing them the information they need to make the best business decisions possible.

“Our customers are the largest and most complex companies in the world, and their data infrastructure and processing environments reflect this complexity. When it comes to these enterprises, it’s not a one-size-fits-all approach to data analytics. They require the ability to query multiple data sources across any environment – in the cloud, multi-cloud, hybrid or on-premises – at the same time, without sacrificing speed or accuracy, and at the lowest possible cost,” said Hillary Ashton, Chief Product Officer at Teradata. “With these cloud-native updates to Vantage’s high-speed data fabric, we continue to give our customers the utmost choice and flexibility in how and when they choose to access their data, while also eliminating data movement and increasing performance – optimizing cost and delivering analytics that matter.”

In addition to providing customers with parallel access to data at scale, Teradata QueryGrid also gives companies the ability to dynamically access data in hybrid and multi-cloud environments and push processing down to where the data resides, thereby reducing data movement, decreasing costs, and reducing time to query. This is especially useful when accessing data in cloud environments where there is an egress fee for exporting out data.

Starburst Enterprise Presto Integration

To extend the company’s reach to the most requested technologies, Teradata has partnered with Starburst Data to integrate a new Presto connector that allows Teradata Vantage users to leverage Starburst Enterprise Presto as part of QueryGrid. This integration with Starburst Enterprise Presto allows Vantage customers to connect to a vast array of new data sources that enable connectivity in a modern cloud architecture, including:

MongoDB,
Amazon Redshift,
Databricks Delta Lake,
Apache Cassandra,
Google BigQuery,
and numerous other data sources and processing engines.

“Starburst is on a mission to enable better and faster decisions by providing a single point of access to all data, no matter where it lives,” said Justin Borgman, Chairman and CEO, Starburst. “By combining Starburst Enterprise Presto with QueryGrid, we are able to offer our joint customers unprecedented reach to high-performance analytics across heterogeneous technologies and deployment platforms.”

Teradata Vantage with QueryGrid is certified on all the major cloud platforms including Google Cloud, AWS and Azure, and now has native integration with key cloud-native technologies such as Google Cloud Dataproc, Azure HDInsight, and Amazon EMR.

For Teradata customers maintaining an on-premises presence or working with hybrid cloud systems, Teradata has also announced an upgrade to its IntelliFlex platform featuring the latest second Gen Intel® Xeon® Scalable processors with 33% more cores than the previous generation. The latest release of the IntelliFlex platform provides customers with up to 30% performance improvement on typical data warehouse workloads and up to 40% on CPU intensive workloads, as well as a 50% increase in memory per node.

Availability

The latest release of Teradata QueryGrid is available globally, today.

The latest update to Teradata Intelliflex is available globally, today.

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Teradata is Selected by Brinker International to Enhance Advanced Analytics, Machine Learning and Data Science Capabilities

August 21, 2020 BI News and Info

Leading Casual Dining Restaurant Company Reinvests in Teradata as it Moves from On-Premises to the Cloud

Teradata (NYSE: TDC), the cloud data and analytics company, today announced that after an evaluation of other cloud analytics offerings on the market, Brinker International, Inc. (NYSE: EAT) has reinvested with Teradata, leveraging the Teradata Vantage platform – delivered as-a-service, on Amazon Web Services (AWS) – as the core of its data foundation to facilitate advanced analytics, machine learning and data science across the organization.

Brinker is one of the world’s leading casual dining restaurant companies and has been a Teradata customer for more than two decades. Founded in 1975 and based in Dallas, Texas, Brinker owns, operates, or franchises more than 1,600 restaurants under the names Chili’s® Grill & Bar and Maggiano’s Little Italy®. Over the past year, Brinker has been working to further increase its capabilities in advanced analytics and data science.

“Being a data-driven organization allows us to make informed decisions to create a better Guest and Team Member experience,” said Pankaj Patra, senior vice president and chief information officer at Brinker International. “As we looked for more flexible and cost-effective ways to manage and access our data, we evaluated quite a few cloud-native providers. After careful consideration, we decided the best course of action would be to migrate to Teradata Vantage in the cloud and take advantage of its as-a-service offerings to support our analytic goals.”

With Teradata Vantage delivered as-a-service, in the cloud, enterprises such as Brinker can focus on mining their data for insights that drive business decisions, rather than on managing infrastructure. By integrating Vantage’s machine learning capabilities, Brinker can now apply advanced analytics and predictive modeling to its business processes, enabling more accurate sales forecasting, demand and traffic forecasting, team member management, recommendation engines for customers and more.

“We’re proud of our ongoing relationship with Brinker and its long-standing position as a leader in the restaurant industry – a position due in large part to its culture of innovation in using data and analytics to streamline business processes, facilitate rapid decision-making and turn insights into answers,” said Ashish Yajnik, vice president of Vantage Cloud at Teradata. “Our collaboration with AWS and participation in the AWS Independent Software Vendor (ISV) Workload Migration Program has helped Brinker successfully move their mission-critical data infrastructure to the cloud. We look forward to expanding our relationship by powering their advanced analytics and data science capabilities through the scalable, clean and trusted data foundation that the Vantage platform provides.”

Teradata is an Advanced Technology and Consulting Partner in the AWS Partner Network (APN). The company brings proven processes and tools to make migrations to Vantage on AWS low risk and the fastest path to customer value through the AWS ISV Workload Migration – an APN Partner program that helps customers migrate ISV workloads to AWS to achieve their business goals and accelerate their cloud journey.

“Through the AWS ISV Workload Migration Program, Teradata was able to help Brinker migrate to Vantage on AWS securely and cost effectively. We are pleased to collaborate with Teradata and its long-standing customer Brinker to enhance their cloud practices,” said Sabina Joseph, director, Americas ISVs, Amazon Web Services, Inc.

Teradata Vantage is the leading hybrid cloud data analytics software platform that enables ecosystem simplification by unifying analytics, data lakes and data warehouses. With Vantage delivered as-a-service, enterprise-scale companies can eliminate silos and cost-effectively query all their data, all the time, regardless of where the data resides – in the cloud using low cost object stores, on multiple clouds, on-premises or anywhere in-between – to get a complete view of their business. And by combining Vantage with first party cloud services, Teradata enables customers to expand their cloud ecosystem with deep integration of cloud-specific, cloud-native services.

Webinar
Join Teradata for a live webinar on July 29th, 8:00 – 9:00 a.m. PT featuring Mark Abramson, lead architect, BI and analytics at Brinker International, and William McKnight, president of McKnight Consulting Group. The session will be moderated by Ed White, vice president, portfolio marketing and competitive intelligence at Teradata. Details below:

Webinar: Brinker’s Journey Back to Teradata

Wednesday, July 29th
8:00 a.m. – 9:00 a.m. PT /
11:00 a.m. – 12:00 p.m. ET

Registration is required and is open to Teradata prospects, customers, analysts, partners and Teradata employees.

This interactive webinar will highlight:

Brinker’s future analytic strategies and how Teradata will be part of its ongoing journey to lower overall costs and improve performance.
How Brinker embraces and drives benefits using Teradata Vantage on AWS, particularly to meet their advanced analytics and computing needs.
McKnight’s latest research into price-performance on modern cloud database management systems, including best practices.

About Brinker International, Inc.
Hi, welcome to Brinker International, Inc. (NYSE: EAT)! We’re one of the world’s leading casual dining restaurant companies. Founded in 1975 in Dallas, Texas, we stay true to our roots, but also enjoy exploring outside of our hometown. As of March 25, 2020, we owned, operated or franchised 1,675 restaurants in 29 countries and two territories under the names Chili’s® Grill & Bar (1,622 restaurants) and Maggiano’s Little Italy® (53 restaurants). Our passion is making people feel special and we hope you feel that passion each time you visit one of our restaurants or our home office. Find more information about us at www.brinker.com, follow us on LinkedIn or review us on Glassdoor.

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NetSuite Expands Integration Capabilities with new REST Web Services

March 20, 2020 NetSuite

Posted by Tomas Novotny, Senior Product Manager, SuiteCloud Platform – Integration

SuiteCloud SuiteTalk REST Web Services are now generally available for all Oracle NetSuite products, extending a robust set of complementary SuiteTalk SOAP web services that have been part of NetSuite’s core integration solution for several releases. Including REST web services in SuiteTalk provides developers and administrators with even more options for integrating NetSuite with external applications, environments and data sources.

REST is a modern, lightweight, easy-to-use application program interface (API) based on a widely adopted architectural style. SuiteTalk delivers a full range of REST APIs exposed via a standard web services interface, securely accessible from external client applications.

REST web services provide users with seamless access to NetSuite record metadata, support API discoverability, offer link-based navigation and give users a uniform approach to interacting with both custom and standard records.

Another benefit: no server-side coding or management of custom scripts is necessary as is the case with server-side RESTlet scripts used to extend SuiteScript APIs when building REST-based integrations.

Here are some of the SuiteTalk REST Web Services Highlights from the latest update:

Metadata – Web services metadata provides schema defining each contract, enabling developers to dynamically discover API endpoints. This metadata contains all available resources such as records, data formats, values for input and output fields and supports HTTP methods and query parameters. Metadata can be returned either as JSON Schema, or via OpenAPI 3.0 (Swagger) format.

CRUD Operations – Create, Read, Update and Delete operations are now supported on records, sublists and subrecords within the parent record, and developers can make use of internal and external IDs to identify and reference these records. Additionally, upsert operations are now fully supported. It’s also possible for control the level of expansion for record subresources (sublists and subrecords) as a link or a fully expanded entity, and record subresources can even be accessed directly.

Query – The NetSuite 2020 Release 1 version of REST web services introduces powerful new query functionality, an area in which NetSuite will continue to invest. The NetSuite REST API now provides users with direct access to SuiteQL, a highly performant SQL-like query language. You can even execute advanced ad-hoc queries to perform actions such as multi-level joins, filtering, sorting, aliasing and paging. Logical, relational and equality operators are supported and make it possible to execute Saved Workbooks data sets.

Supported Records – All SuiteScript records available in the NetSuite 2020 Release 1 are supported in REST to maximize coverage of business objects. Please note that certain records may still be in beta status, so be sure to review the API and developer documentation to learn more.

For those who haven’t tried out these powerful new REST web services, spend some time exploring news ways to integrate NetSuite with other applications and environments managed by your organization.

To learn more, please refer to the Online Help articles available in NetSuite Help Center or SuiteAnswers, and get more specifics on the new features in the Release Notes.

Posted on Wed, March 18, 2020
by NetSuite filed under

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Announcing new data protection capabilities in Power BI

November 5, 2019 Self-Service BI

Digital transformation has revolutionized the way organizations operate, improved their productivity, enabled greater collaboration and enhanced business workflows with state-of-the-art technologies like AI. Digital transformation also created new threats of business data leakage as well as new regulations such as the new European Union’s General Data Protection (GDPR) governing how organization should store and protect sensitive business data. More than ever before, data protection is a top of mind for many central IT teams.

Power BI adoption by large enterprises is growing very fast. To reduce the risk for data leakage, up until now some organizations have chosen to block export from Power BI and/or limit user access to sensitive data, at the expense of productivity. Others, have chosen just to rely on their employees following the organization’s data protection guidelines, in order to maintain high productivity. Both options require IT teams to make a compromise between data protection and productivity.

Over the past six months, the Power BI team has worked closely with the Microsoft Information Protection and Cloud App Security teams to provide a solution that will enable Power BI customers to have their data protected, while maintaining high productivity.

It is now possible to:

Classify and label sensitive Power BI data using the familiar Microsoft Information Protection sensitivity labels used in Office.
Enforce governance policies even when Power BI content is exported to Excel, PowerPoint, or PDF, to help ensure data is protected even when it leaves Power BI.
Monitor and protect user activity on sensitive data in real time with alerts, session monitoring, and risk remediation using Microsoft Cloud App Security.
Empower security administrators who use data protection reports and security investigation capabilities with Microsoft Cloud App Security to enhance organizational oversight.

Sensitivity labels in Power BI

A sensitivity label is a tag that you can apply on Power BI datasets, reports, dashboards and dataflows, it is:

Customizable to the organizations needs – By defining sensitivity labels, organizations can create categories for different levels of sensitive content, such as Personal, Public, General, Confidential, and Highly Confidential.
Easily visible – It’s easy for content creators to apply sensitive labels as part of the content creation flow. Once the label has been applied any consumer that interacts with the content can see the content sensitivity.
Persistent – after a sensitivity label has been applied to content in Power BI, it persist applying both the label and protection when it is exported to: Excel, PowerPoint and PDF.

The beauty of this new capability is that these are the same sensitivity labels often used by organizations to classify, label and protect Office 365 files such as Excel, PowerPoint, Word, and Outlook emails.

Once a sensitivity label is applied to a report, Power BI extends applicable protection policies to that report data when it is exported from Power BI to Excel, PowerPoint and PDF files.

For example, if the sensitivity label on a report has a file protection policy, when data is exported from this report to an Excel file, authorized users will be able to view the file, whereas the file is protected against access by unauthorized users.

Authorized users will be able to open the file and see the sensitivity label applied to the Power BI report:

Unauthorized users will not be able to open the file:

Sensitivity labels applied on reports and dashboards are also visible when viewing reports and dashboards in the Power BI mobile app (IOS and Android)

Licenses are required to apply and view sensitivity labels in Power BI and in Office apps.

Learn about data protection in Power BI

How to enable sensitivity labels in Power BI

Real-time controls and monitoring with Microsoft Cloud App Security

Microsoft Cloud App Security is one of the world’s leading cloud access security brokers used to secure the use of cloud apps. It enables organizations to monitor and control, in real time, risky Power BI sessions such as user access from unmanaged devices. Security administrators can define policies to control user actions, such as downloading reports with sensitive information.

For example, if a user connects to Power BI from an unmanaged device, the session can be monitored by Microsoft Cloud App Security’s real-time controls, and risky actions, such as downloading data that has the “Highly Confidential” sensitivity label applied to it, can be blocked in real time.

Additionally, with Microsoft Cloud App Security, administrators have real-time visibility and control over Power BI user activities concerning data that has sensitivity labels. This visibility and control include security alerts for Power BI service activities such as mass or suspicious report sharing (preview), etc.

Microsoft Cloud App Security licenses are required for these capabilities.

Coming soon: New protection metrics report for admins in Power BI admin portal

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Microsoft Power BI Blog | Microsoft Power BI

Dynamics 365 Portals – Leverage Liquid and Java Script Custom Code to Enhance Portal Capabilities

October 3, 2019 Microsoft Dynamics CRM

Dynamics 365 Portals

Dynamics 365 Portals offer a great way to enhance customer experience by extending some CRM configurations directly to the customer. There comes a time when you may want your portal to perform some action that is beyond the out-of-the-box functionality. Extending portal functionality often requires custom Java Script and or Liquid code. Get familiar with some of the basic understandings of these two programming languages using this guide.

Liquid Code

Liquid code runs server-side- meaning that this code works great for making queries back to Dynamics to deliver data or perform an action. Suppose you want to display some information from a parent record on the current record that a user is viewing from the portal. You can use Liquid Code to define the field on the parent entity as a liquid object, and display the object on the web page. Code like this is often times implemented on the Web Template portal entity. Web Templates are used to structure and display data in particular ways for all Web Pages that utilize that Web Template.

Java Script

Java Script comes in handy when you want to improve the user-experience, but not always the best option to meet a business process’s needs, as Java Script can be subverted. Want to hide/show a field on a portal page based on another field’s value? This is precisely where Java Script should be implemented. It doesn’t stop there, though. Use this code to pre-populate fields, hide/show sections and tabs, send an alert to a user, lock down fields, even make collapsible tabs! Java Script is most commonly used as a way to mimic Dynamics 365’s Business Rules. Implement this style of code of Web Forms, Entity Forms, Entity Form Metadata, and Web Templates.

Using Liquid and Java Script in conjunction

It is possible to use these two styles of code on the same portal component, within the same script. Be aware though, that this method will not work in some cases. For example, say you have a Java Script block of code that looks for a change of a field, and you want to execute a block of Liquid code when that field changes. While this type of code could prove useful, it’s not possible, as Liquid runs server-side and cannot run after a web page has already been loaded on a browser.

Contact us!

Beringer Technology Group is always here to provide expert knowledge in topics like these. Contact us with any questions that you may have!

Beringer Technology Group, a leading Microsoft Gold Certified Partner specializing in Microsoft Dynamics 365 and CRM for Distribution. We also provide expert Managed IT Services, Backup and Disaster Recovery, Cloud Based Computing and Unified Communication Solutions.

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CRM Software Blog | Dynamics 365

Groupon acquires Presence AI to bolster booking capabilities with AI

August 11, 2019 Big Data

Groupon today announced that it’s purchased Presence AI, a San Francisco-based company developing a communications platform that automates business-to-customer calls and messaging. The terms of the deal weren’t disclosed, but Groupon chief product officer Sarah Butterfass said that Presence AI’s portfolio will complement Groupon’s existing booking products and help to “accelerate” its development roadmap.

Presence AI — a member of the 2018 Alexa Accelerator cohort — had attracted $ 20,000 in seed funding from investors, one of which was Amazon’s Alexa Fund.

“We’re pleased to welcome the Presence AI team and their booking technology to Groupon. Booking is a key part of our voucherless initiative aimed at improving the redemption experience, providing always-on availability, giving consumers more reasons to buy through Groupon and opening up our marketplace to a broader range of merchants,” said Butterfass in a statement.

Presence AI, which was founded in 2015 by Michel Meyer, provides a configurable virtual assistant that integrates with health, beauty, and wellness merchants’ scheduling software to accept and manage bookings. It’s able to reschedule or confirm appointments autonomously and remind people when it’s time to book again, and to answer commonly asked customer questions as they come.

Those capabilities were no doubt attractive to Groupon as it looks to invest further in reservable experiences. Ahead of a planned transition to “universal bookability” for certain services in the future, the company increased bookable inventory 12% year over year and booked tens of millions of diners, concert-goers, spa visitors, and more in 2018.

“We’re very excited to join Groupon and continue transforming client conversations through the use of artificial intelligence,” said Meyer. “With more than 3 million text messages generated last year, Presence AI is saving merchants time and generating additional revenues. We can’t wait to bring our technology to more businesses.”

Presence AI is Groupon’s first public acquisition this year following its purchase of U.K. cloud savings company Vouchercloud for $ 65 million in May 2018. Prior to that, the company snatched up rival LivingSocial in October 2016 for a price low enough to be considered “not material.”

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Big Data – VentureBeat

The Core Capabilities to Becoming an API Innovation Powerhouse

June 18, 2019 TIBCO Spotfire

The TIBCO Connected Integration Cloud, featuring TIBCO Cloud Mashery, is a tremendously powerful tool to help you manage your APIs wherever they may live—in the cloud, in your data center, and everywhere in between. But these tools are only one part of the equation. To maximize your value from these products and turn your API program into an innovation engine, you need to adopt the core capabilities for what I like to call ‘REAL API management’.

REAL API management focuses on the people and processes in your organization that actually make your program a success. Whether adopting API-led integration or developing a strategy to leverage your corporate information to enhance your strategic partnerships and engage with the wider ecosystem, your teams will need to learn new skills and adapt to rapidly changing market conditions. To succeed, your API team must start by developing three core competencies: supporting and engaging with developers, monitoring and improving API performance, and measuring and honing your success.

Developer support is critical to API success, as developers—whether internal or external—are your end users. Your goal should be to give them the information they need to solve their toughest challenges with your APIs, then get out of their way. This starts with creating a great developer experience that goes beyond the design of your APIs.

While API uptime and latency should be consistently monitored, you must also dig into the common use cases and their associated API flows to make sure you’re delivering an optimal experience. But even the best designed APIs and most carefully written documentation can lead some developers astray. Monitoring for developers who use your APIs inefficiently and identifying bad actors who may be seeking weaknesses to exploit can help shore up the integrity of your systems and keep the data flowing smoothly.

The most successful APIs are those that closely adhere to and drive forward the goals of the organization. You should review these goals on a regular basis and make sure you’re capturing the right KPIs to measure your success and sending them to the right people to find opportunities for growth and optimization.

How your team develops these capabilities will depend largely on who your APIs are intended to serve and what goals they help to accomplish. At TIBCO Now Chicago I will dive deeper into the factors you’ll need to consider to help your organization develop these skills and identify more opportunities to leverage your APIs to become an innovation powerhouse. I look forward to seeing you there!

Check out the breakout session, “Keeping Your Innovation Engine Running with Real API Management” on Wednesday, June 12 at 10 am at TIBCO NOW Chicago, led by Rob Zazueta. Haven’t registered yet? Visit now.tibco.com and sign up today!

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A Digital Smile for Gartner Critical Capabilities Report 2019

June 18, 2019 Sisense

Published each February, the Gartner MQ gets
all of the fanfare. But frankly, as a
data geek, it is a pretty boring report.
Each vendor gets a single dot, three strength statements, and three
caution statements. For all the work
that goes into the analysis, that’s it!
Sisense was named a Visionary on the Gartner MQ, but even with our outstanding performance, I am left wanting
more. As a data geek, I want to know
exactly why we performed so well!

That is exactly where the Gartner
Critical Capabilities Report for Analytics and BI Platforms comes in.
Published a few months after the MQ, this report provides more than a glimpse
at the mountain of data behind the Gartner
MQ.

The report is a comparative analysis that
scores competing products against a set
of critical differentiators identified by Gartner. And not just in words, but
in numbers. Just the way I like it. This makes it all the sweeter for me, as
here at Sisense, my focus is to make sure that our clients have everything they
need to understand our radical innovation.

And for that reason, I can tell you the report
has made my job easy. Here’s why I got off the train at Penn station this
morning with a grin that showed my pearly whites to the world and had my fellow
train-mates wondering what was written on those papers…

Blog Email CTA 770x250 770x250 A Digital Smile for Gartner Critical Capabilities Report 2019

Some of our Strengths

Gartner extends its Magic Quadrant analysis to
include the strengths of our product. At Sisense, we make sure data teams have
the best tools to ingest, clean, and
transform data from a broad range of sources, supporting both live data from
high performing databases and mashup in the ElastiCube.

We also score high for Extranet Deployment, which is great news for all our builders,
including data engineers and data teams.

I know for a fact that Sisense has the
greatest level of flexibility for modeling data. One of the reasons I came to
work for Sisense was because I strongly believed in this technical ability, and
saw the potential for data teams to bring in live data from any DWH or mashup
data in the ElastiCube from varied sources. And with the recent merger with
Periscope Data, data teams can also work with common languages like SQL,
Python, and R to bring better insights to analysts and end users.

Sisense also scored the highest (4.23 out of
5.0) for OEM or Embedded BI in this report. Sisense has always been great with
its embedded use case for products. In fact, over half our business is based on
OEM sales, and that is only going to get stronger. With our solution being
fully extensible and customizable, developers and product managers find that
they can integrate our product to suit their business needs perfectly. We are amazed at some of the ways our
customers find to use our product as an embedded solution, including
white-labeling our product to become a revenue generator, and to develop add-ons
that create true competitive differentiators in their products.

Keep Your Eyes on Augmented
Analytics

We’ve been working on many innovations in our
Sisense Labs department. Some of the most innovative technologies coming out of
Labs is Insight Miner, Boto, and Sisense Hunch, which
condenses immense amounts of data into lightweight neural networks for quick
and easy analysis at the edge. In terms of augmented analytics, Gartner
has scored us with a 3.08 score out of 5.0,
but that doesn’t worry us. Our next innovation to hit the market will be AI
Exploration Paths. Sisense’s AI Exploration Paths empower business users to
access more comprehensive insights in fewer clicks by automatically generating
visualizations in anticipation of their next question. You will see it become
more of a driver in our analytics over the next year. I am confident that
Sisense Labs and the innovations coming from this team will put us over the top
in this category in the coming years.

Power to the Builders

Since the beginning of the year, we have been
talking about our capabilities to power the builders—data engineers, BI teams,
data scientists, developers, business analysts, and data-focused business
users. Our goal is to deliver a platform that empowers data, product, and
business teams to drive the digital transformation within their organizations,
reducing both the time and effort needed for this entire workflow.

With high scores in this report, we know we
are on the right track when we focus on agility, centralized BI provisioning,
and governed data discovery.

Our merger with Periscope Data sets us on a new
trajectory to build this unified platform. One that is uniquely positioned to
empower these business, data, and product teams to bring their companies into
the digital era.

Sisense is a truly self-service platform for
data scientists, data engineers, developers, business analysts, and business
users. All these builders are supported in an integrated platform that
streamlines workflows between teams. And this is reflected in our customer
reviews that give us high scores for ease
of use of our product, and visual appeal.

A Digital Smile

The Gartner Critical
Capabilities Report does a great job of laying out the key
market trends and assumptions and comparing the top Magic Quadrant vendors for
their core capabilities.

Thanks, Gartner, for making me smile, and
confirming what I already know—that Sisense is a true industry Visionary!

We’ve made a copy
of the report available to everyone here.

Gartner Disclaimer:

Gartner, Critical Capabilities for Analytics and Business Intelligence Platforms, 14 May 2019, James Richardson, Rita Sallam, Austin Kronz

Gartner, Magic Quadrant for Analytics and
Business Intelligence Platforms, 11 February 2019, Cindi Howson, James
Richardson, Rita Sallam, Austin Kronz

Gartner does not endorse any vendor, product or
service depicted in its research publications, and does not advise technology
users to select only those vendors with the highest ratings or other
designation. Gartner research publications consist of the opinions of Gartner’s
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Gartner disclaims all warranties, expressed or implied, with respect to this
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Teradata Ranked Highest in Every Use Case in 2019 Gartner Critical Capabilities for Data Management Solutions for Analytics Report

April 23, 2019 BI News and Info

Teradata recognized in all four categories – traditional data warehouse, real-time data warehouse, logical data warehouse and context-independent data warehouse use cases

Teradata (NYSE: TDC), the industry’s only Pervasive Data Intelligence company, today announced it has been recognized with the highest scores in all four use cases in Gartner’s recently published report, Critical Capabilities for Data Management Solutions for Analytics, issued March 18, 2019 by analysts Rick Greenwald and Adam M. Ronthal. Among 19 vendors evaluated, Teradata was ranked highest in all data warehouse use cases — Traditional, Real-time, Logical and Context-Independent. This year’s report marks the sixth time that Teradata has been included in the report.

“Leading every use case in Gartner’s Critical Capabilities report, in combination with being recognized as a Leader – for the 17th consecutive time – in the 2019 Magic Quadrant for Data Management Solutions for Analytics, once again validates our position as the authority in the new era of pervasive data intelligence,” said Martyn Etherington, CMO at Teradata. “Teradata Vantage not only gives our customers the answers they seek, it resets the bar for the entire industry.”

2019 Gartner Critical Capabilities 1 2 Teradata Ranked Highest in Every Use Case in 2019 Gartner Critical Capabilities for Data Management Solutions for Analytics Report

According to Gartner, “Demand for incorporating increasingly varied data sources and their associated use cases continues to expand in the data management solutions for analytics (DMSA) landscape. This pressure is forcing vendors to expand their capabilities. It has contributed to the expansion of the concept of the logical data warehouse (LDW), which allows multiple data types and sources to be accessed through a single logical interface, as well as to the growth in distributed database architectures.”

2019 Gartner Critical Capabilities 3 4 Teradata Ranked Highest in Every Use Case in 2019 Gartner Critical Capabilities for Data Management Solutions for Analytics Report

Data types and volumes are expanding exponentially, creating cost and complexity challenges that are uniquely difficult for the companies that use data the most. To address this growing issue, Teradata recently unveiled Teradata Vantage, its pervasive data intelligence platform that leverages 100 percent of the data to uncover real-time intelligence at scale. For companies requiring tightly integrated solutions that can accommodate massive scale and speed, and be deployed across secure, hybrid-cloud architectures, Vantage serves as the connective tissue – consolidating data, analytics, functional and tool silos into a single platform. Adding unprecedented choice, agility and flexibility to the decision to use Teradata Vantage, the platform can be deployed across public clouds, on-premises, optimized or legacy infrastructure, or as-a-service.

Gartner recommended, “For data and analytics leaders responsible for data management solutions as part of strategizing and planning information infrastructure: Evaluate the capabilities of your incumbent solution(s) against new use cases to determine if existing expertise could be used to reduce development time with a good-enough solution already in place; Plan on using a heterogeneous solution landscape overall, but try and reduce duplication of effort by categorizing use cases with regard to their target deployment platform; Use a logical data warehouse architecture when you need to integrate separate data repositories efficiently, keeping in mind performance SLAs that may be impacted by remote access; Plan for eventual integration with other data silos when scoping the effort needed to implement a specific solution to avoid crippling overhead caused by proliferating data silos.”

To learn more visit: https://www.teradata.com/Resources/Analyst-Reports/2019-Gartner-Critical-Capabilities-for-Data-Manage, or see Vantage in action at several upcoming events including Teradata Universe Madrid from April 7-10, 2019 or a Data Science Experience event at a city near you.

Gartner, “Critical Capabilities for Data Management Solutions for Analytics” by Rick Greenwald and Adam M. Ronthal, March 18, 2019.

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Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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