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Tag Archives: High

TIBCO Receives High Ratings in 2020 Gartner Peer Reviews

September 12, 2020   TIBCO Spotfire
Achievement 696x365 TIBCO Receives High Ratings in 2020 Gartner Peer Reviews

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TIBCO is always proud to receive industry recognition from analyst firm Gartner. In the past year, we have been named either a Leader  or a Challenger in four of the firm’s Magic Quadrant reports*: 

-A Leader in the Magic Quadrant for Master Data Management Solutions (Jan 2020)

-A Leader in the Magic Quadrant for Data Science and Machine Learning Platforms (Feb 2020)

-A Challenger in the Magic Quadrant for Analytics and Business Intelligence Platforms (Feb 2020) 

-A Challenger in the Magic Quadrant for Full Life Cycle API Management (Oct 2019) 

Equally as important to us is peer recognition and how they view our products and services. This year, TIBCO has also been recognized with high ratings in the four 2020 Gartner Peer Insights Voice of the Customer reports.**

We are excited and humbled by our customers that gave these TIBCO products high overall ratings and review coverage. Your voices truly help us map out our product direction and life cycles. 

We have received high ratings in: 

-Gartner Peer Insights ‘Voice of the Customer’: Full Life Cycle API Management (Mar 2020) (TIBCO Cloud Mashery) 

-Gartner Peer Insights ‘Voice of the Customer’: Master Data Management Solutions (Jun 2020) (TIBCO EBX)

-Gartner Peer Insights ‘Voice of the Customer’: Analytics and Business Intelligence Platforms (Jul 2020)(TIBCO Spotfire)

-Gartner Peer Insights ‘Voice of the Customer’: Data Science and Machine Learning Platforms (Jul 2020) (TIBCO Data Science)

These categories represent the wide range of leading-edge technical solutions that TIBCO provides the community. Our mission is to help our customers continuously innovate and stay ahead of the pack with a diverse set of solutions.

Here’s what users had to say in their own words with overall scores reviewed in the last 12 months:

TIBCO Cloud Mashery (4.6/5 Overall Score as of 9/1/20 based on 6 reviews) 

TIBCO Cloud Mashery played a key role when my organization embarked on its digital transformation journey. Along with creating new APIs, we were able to seamlessly re-package our legacy services as APIs and provision them in one central place. This initiative helped our partners to integrate quickly and turn-out time was reduced from weeks to a few days. 
—Sr Enterprise Architect in the Services Industry

TIBCO Data Science (4.8/5 Overall Score as of 9/1/20 based on 10 reviews)

TIBCO Data Science makes it infinitely easier to utilize the power of machine language. It affords my organization the power to build, manage, and deploy machine learning workflows. The software is pretty reliable and allows us to turn predictive insights into huge profitable outcomes. TIBCO provides solutions to numerous problems in a short amount of time and allows integration with third-party software, which brings even better outcomes. The software allows us to expand data science across our organization.
—Data Administrator in the Communications Industry

TIBCO EBX (4.7/5 Overall Score as of 9/1/20 based on 56 reviews) 

As a large financial services enterprise, we have complex, multidomain master data management needs. Our requirements range from ensuring consistency on reference data sets across very heterogeneous and federated system landscapes to mastering complex data domains, specifically in the financial accounting and reporting domain. EBX as a product has so far proven to be flexible and stable, with its strong suit being in the iterative development nature that the tool supports, bridging the gap between subject matter experts and technical team.
—Head of Data Management in Finance Industry

TIBCO Spotfire (4.5/5 Overall Score as of 9/1/2020 based on 53 reviews) 

Our overall experience has been very positive with TIBCO Spotfire but especially with the customer service extended to us by TIBCO throughout our process. The product is user-friendly and flexible to fit our operational needs. It can handle and quickly analyze mass amounts of data, which works well with our program.  
—Deputy Administrator in the Government Industry

Word-of-mouth is always an important aspect of decision making. Knowing the positive impact TIBCO solutions make on digital businesses across industries makes it clear that TIBCO does what’s best for you. And your feedback helps us determine ways we can improve our solutions to help you succeed. If you’re interested in learning more about why TIBCO continues to be recognized by peers, visit our Gartner Peer Insights review page. 

*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.

**Gartner Peer Insights reviews constitute the subjective opinions of individual end-users based on their own experiences and do not represent the views of Gartner or its affiliates.

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High Customer Satisfaction Led to Teradata’s Leadership Distinction in Q4 Big Data Warehouse Landscape Report by The Information Difference

January 30, 2020   BI News and Info

Teradata (NYSE: TDC), the industry’s only Pervasive Data Intelligence company, today announced it has been recognized with the highest technology score in the Big Data Warehouse Landscape Q4 2019 report by The Information Difference, issued Jan. 21, 2020. This year’s report marks the 9th time that Teradata has been included.
 
Five major vendors were evaluated in the report, which represents the market in multiple dimensions based on customer set, customer satisfaction, maturity of the technology, data warehouse revenue, size of partner ecosystem, geographic coverage and more. Teradata ranked highest in the technology dimension, compared to IBM, Magnitude, Microsoft and Oracle.

 
“A significant part of the ‘technology’ dimension scoring is assigned to customer satisfaction, as determined by a survey of vendor customers,” said Andy Hayler, Analyst at The Information Difference. “In this annual research cycle the vendor with the happiest customers was Teradata. Our congratulations to them. This certainly confirms what we regularly hear from Teradata customers about the Vantage platform, which is clearly leading the data warehouse market.”
 
“Customer satisfaction is the ultimate measure of a company’s success and we are delighted that our customers have once again put Teradata at the top of this ranking,” said Chris Twogood, SVP of Global Marketing at Teradata. “We built Vantage to help our customers move from analytics to answers with a cloud-forward platform that unifies analytics, data lakes and data warehouses. This report confirms that we are delivering on that promise.”
 
Teradata Vantage, the company’s flagship product, delivers a modern cloud architecture that enables companies to start small and elastically scale compute or storage as business needs increase. With support for low-cost object stores and seamless integration of analytic workloads, customers can deploy Vantage across public, multi-cloud or hybrid cloud environments, paying only for what they use while leveraging 100% of their available data for analytic answers.
 
To learn more about this report visit: www.informationdifference.com
 
 

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High r square but strong pattern in residuals

January 19, 2020   BI News and Info
 High r square but strong pattern in residuals

I analyze the development of the total number of users over time. It is obvious that a linear regression fits the data. The r squared is then also 0.9961.

Now the problem: a plot of the residuals shows the presence of a pattern. This should not be the case if the model would be correct.

Does anyone have experience how to solve this issue? I tried time series model fit, which gave me a random walk model (ARIMA 0,1,0) but I am not able to find out the coefficients of this model, which is exactly what I need.

Thanks.

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Integrated Business Planning For High Tech: How Platforms Improve Execution And Drive Differentiation

November 18, 2019   SAP
 Integrated Business Planning For High Tech: How Platforms Improve Execution And Drive Differentiation

In the vocabulary of today’s digital economy, “high tech” and “innovation” are virtually synonymous. This emphasis on innovation has driven a dramatic expansion in the definition of what high tech as an industry delivers to customers.

Today, it’s not just the computer on your lap and the phone in your pocket. It’s also the car you drive and the gadgets that control your home. It’s appliances with touch screens, shoes with sensors, watches with GPS. Across an ever-increasing range of possibilities, the high-tech industry prides itself on delivering products that change the way we live and work.

Innovation is so deeply ingrained in the high-tech industry that customers expect it. Innovation has become the norm – a commodity in itself. This, in turn, is making customer experience and service into an increasingly important differentiator.

Yes, coming up with the next big product is essential to staying relevant. But at the same time, the pressure is relentless to drive down costs, increase efficiency, and maximize ROI across all areas of operations – even in the face of ever-growing infrastructure, development, and research efforts.

Differentiation, in other words, is not exclusive to product innovation in the high-tech industry. It is also increasingly dependent on excellence in areas such as manufacturing, logistics, and supply chain management – and one of the keys to success across all of these areas is to develop an integrated business planning platform that helps tie all relevant activities together.

Platform considerations

For brand owners in the high-tech industry, you have to start somewhere – and this somewhere is typically a demand forecast, which becomes the drumbeat of your extended supply chain network. With expensive critical components and long lead times, even the smallest change in the demand picture can wreak havoc in the high-tech industry – particularly when there’s significant lag time between the actual change and the detection of it. And in an industry where demand is volatile and fluctuations are the norm, the ability to respond to short-term changes is critical.

Leading brand owners and manufacturers, therefore, put a premium on platforms that facilitate the ability to detect demand changes in real time and then respond effectively. Such platforms help you standardize and integrate supply chain processes, not only for demand and supply planning but also for collaboration with partners such as contract manufacturers, critical component and commodity suppliers, distribution partners, and customers. With the integration of disparate systems and the ability to handle the big data volumes associated with a global supply chain, you can realize the operational and planning efficiencies that help to drive down costs and improve performance.

A platform up to the task for high-tech brand owners and manufacturers should support the following:

  • Collaborative sales and operations planning (S&OP): Today, S&OP needs to move from an insular process executed within planning silos to one that reaches out to include all planning constituencies on a more continuous basis. A robust platform helps to pull all relevant partners – inside and outside of the organization – into the planning process where quick collaboration can happen based on a single source of trusted data.
  • Response and supply planning: To respond more effectively to demand fluctuations and supply disruptions, platforms should allow you to mix multi-level demand and supply matching and rough-cut capacity planning with embedded analytics and exception management – including the identification of gating factors. This can help you better prioritize demand, generate effective allocations based on promises to deliver, and improve response management.
  • Inventory optimization: A platform that supports multi-echelon inventory optimization can drive down working capital investments and drive up service levels by helping you plan more effectively regarding inbound raw materials and finished goods in distribution centers. For outsourced manufacturing, this can also drive down off-balance-sheet liabilities. Support for demand-driven material requirements planning (DDMRP) with advanced analytics also makes it possible for you to develop better profiles of decoupling points and related buffer stock positions while generating a continuous flow of goods – thus reducing the MRP nervousness that is prevalent in the extended supply chains of the high-tech industry. This can help reduce the risk of stock-outs, optimize inventory carrying costs, and reduce the dependency on forecasts that are never perfect.
  • Demand planning and sensing: By mixing data on historical trends and seasonal patterns with, say, live data from sell-in and sell-through data (even down to point-of-sales systems), you can sense shifts in demand in real time. Statistical models can help you develop accurate mid-term forecasts, while demand-sensing capabilities enable you to react to near-term demand changes as they occur. You can also use machine learning technology to identify correlation patterns and automate the detection of demand changes.
  • Multi-tier supply chain collaboration: Most high-tech supply chains rely on multiple tiers of trading partners that need to be aligned effectively. As opposed to regular physics, information in supply chain networks typically flows easier upstream than downstream. So, next to communicating forecast and demand information upstream to multiple tiers of manufacturers and suppliers, it is important to also obtain more real-time information of manufacturing status, inventory on-hand, and on-order positions of trading partners to make better and more informed decisions. Highly effective companies leverage the power of business networks to achieve scalability and lower the hurdle of onboarding or switching suppliers – thereby increasing resiliency and automation.
  • Real-time monitoring: To help tie all activities together and monitor events in real time, you also need some sort of visibility layer – a dashboard, cockpit, or control tower. Such a layer should enable you to not only track critical KPIs but also drill down into the details without having to jump over to separate systems. From such a monitoring environment, you should also be able to manage alerts, run simulations, and even collaborate with partners as needed.

As high-tech brand owners and manufacturers continue to seek out ways to compete more effectively in crowded markets, the ability to execute on business plans and respond with agility to changing market dynamics is becoming an increasingly valuable point of differentiation. A proper, integrated business planning platform that helps you consolidate your view of all relevant data and act on that data with confidence can help you improve decision-making, speed your execution, and – ultimately – enhance the customer experience with quality products that meet demand.

To learn more about best practices for integrated business planning in the high-tech industry, download the IDC report on digital business planning.

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Integrated Business Planning For High Tech: How Platforms Improve Execution And Drive Differentiation

November 18, 2019   SAP
 Integrated Business Planning For High Tech: How Platforms Improve Execution And Drive Differentiation

In the vocabulary of today’s digital economy, “high tech” and “innovation” are virtually synonymous. This emphasis on innovation has driven a dramatic expansion in the definition of what high tech as an industry delivers to customers.

Today, it’s not just the computer on your lap and the phone in your pocket. It’s also the car you drive and the gadgets that control your home. It’s appliances with touch screens, shoes with sensors, watches with GPS. Across an ever-increasing range of possibilities, the high-tech industry prides itself on delivering products that change the way we live and work.

Innovation is so deeply ingrained in the high-tech industry that customers expect it. Innovation has become the norm – a commodity in itself. This, in turn, is making customer experience and service into an increasingly important differentiator.

Yes, coming up with the next big product is essential to staying relevant. But at the same time, the pressure is relentless to drive down costs, increase efficiency, and maximize ROI across all areas of operations – even in the face of ever-growing infrastructure, development, and research efforts.

Differentiation, in other words, is not exclusive to product innovation in the high-tech industry. It is also increasingly dependent on excellence in areas such as manufacturing, logistics, and supply chain management – and one of the keys to success across all of these areas is to develop an integrated business planning platform that helps tie all relevant activities together.

Platform considerations

For brand owners in the high-tech industry, you have to start somewhere – and this somewhere is typically a demand forecast, which becomes the drumbeat of your extended supply chain network. With expensive critical components and long lead times, even the smallest change in the demand picture can wreak havoc in the high-tech industry – particularly when there’s significant lag time between the actual change and the detection of it. And in an industry where demand is volatile and fluctuations are the norm, the ability to respond to short-term changes is critical.

Leading brand owners and manufacturers, therefore, put a premium on platforms that facilitate the ability to detect demand changes in real time and then respond effectively. Such platforms help you standardize and integrate supply chain processes, not only for demand and supply planning but also for collaboration with partners such as contract manufacturers, critical component and commodity suppliers, distribution partners, and customers. With the integration of disparate systems and the ability to handle the big data volumes associated with a global supply chain, you can realize the operational and planning efficiencies that help to drive down costs and improve performance.

A platform up to the task for high-tech brand owners and manufacturers should support the following:

  • Collaborative sales and operations planning (S&OP): Today, S&OP needs to move from an insular process executed within planning silos to one that reaches out to include all planning constituencies on a more continuous basis. A robust platform helps to pull all relevant partners – inside and outside of the organization – into the planning process where quick collaboration can happen based on a single source of trusted data.
  • Response and supply planning: To respond more effectively to demand fluctuations and supply disruptions, platforms should allow you to mix multi-level demand and supply matching and rough-cut capacity planning with embedded analytics and exception management – including the identification of gating factors. This can help you better prioritize demand, generate effective allocations based on promises to deliver, and improve response management.
  • Inventory optimization: A platform that supports multi-echelon inventory optimization can drive down working capital investments and drive up service levels by helping you plan more effectively regarding inbound raw materials and finished goods in distribution centers. For outsourced manufacturing, this can also drive down off-balance-sheet liabilities. Support for demand-driven material requirements planning (DDMRP) with advanced analytics also makes it possible for you to develop better profiles of decoupling points and related buffer stock positions while generating a continuous flow of goods – thus reducing the MRP nervousness that is prevalent in the extended supply chains of the high-tech industry. This can help reduce the risk of stock-outs, optimize inventory carrying costs, and reduce the dependency on forecasts that are never perfect.
  • Demand planning and sensing: By mixing data on historical trends and seasonal patterns with, say, live data from sell-in and sell-through data (even down to point-of-sales systems), you can sense shifts in demand in real time. Statistical models can help you develop accurate mid-term forecasts, while demand-sensing capabilities enable you to react to near-term demand changes as they occur. You can also use machine learning technology to identify correlation patterns and automate the detection of demand changes.
  • Multi-tier supply chain collaboration: Most high-tech supply chains rely on multiple tiers of trading partners that need to be aligned effectively. As opposed to regular physics, information in supply chain networks typically flows easier upstream than downstream. So, next to communicating forecast and demand information upstream to multiple tiers of manufacturers and suppliers, it is important to also obtain more real-time information of manufacturing status, inventory on-hand, and on-order positions of trading partners to make better and more informed decisions. Highly effective companies leverage the power of business networks to achieve scalability and lower the hurdle of onboarding or switching suppliers – thereby increasing resiliency and automation.
  • Real-time monitoring: To help tie all activities together and monitor events in real time, you also need some sort of visibility layer – a dashboard, cockpit, or control tower. Such a layer should enable you to not only track critical KPIs but also drill down into the details without having to jump over to separate systems. From such a monitoring environment, you should also be able to manage alerts, run simulations, and even collaborate with partners as needed.

As high-tech brand owners and manufacturers continue to seek out ways to compete more effectively in crowded markets, the ability to execute on business plans and respond with agility to changing market dynamics is becoming an increasingly valuable point of differentiation. A proper, integrated business planning platform that helps you consolidate your view of all relevant data and act on that data with confidence can help you improve decision-making, speed your execution, and – ultimately – enhance the customer experience with quality products that meet demand.

To learn more about best practices for integrated business planning in the high-tech industry, download the IDC report on digital business planning.

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High Crimes

November 14, 2019   Humor
© Tom Tomorrow

The Republicans claim Donald Trump did nothing wrong because both he (the accused) and Volodymyr Zelensky (the person being extorted, so essentially had a gun pointed at his head) said there was no pressure to investigate Joe Biden. But as multiple witnesses (yes, including several first hand witnesses) have testified under oath, there was plenty of explicit pressure. Trump was using his official power as president to extort assistance from a foreign country for his own personal gain.

That is a massive swamp, and an illegal one at that. I guess the GOP is so desperate for excuses that easily disproved lies are all they have left to try.

Related

 If you liked this, you might also like these related posts:
  1. Thought Crimes
  2. High Frequency Trading – Legalized Theft
  3. McCain propaganda – Obama is to blame for high gas prices
  4. The High Cost of Fossil Fuels
  5. High Expectations

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Does Your CRM System Allow You to Treat Your High Value Customers as Highly Valued?

November 13, 2019   CRM News and Info
crmnav Does Your CRM System Allow You to Treat Your High Value Customers as Highly Valued?

The evaluation of customers is an important part of any business.  For decades banks have been analyzing customer data trying to determine which customers are the most “valuable.”  Many different systems have been used over the years, each with their pros and cons. Here are some examples:

  • A, B, C subjective ranking where people inside the bank, who know the customers, rank them
  • High Value or Profitability rankings based on products or assets held at the bank
  • Secure customer index or barrier to exit rankings that are based on the length of time as a customer and the number of products the customer purchases
  • High net worth rankings to rank customers by potential instead of actual holdings
  • Householding or referral scores to try to link high net worth individuals together
  • Most recently, net promoter or influencer scores to capitalize on social media trends

Ironically, the bank’s investment in these ranking systems typically falls short.  Why? Because even though they may have been able to generate a report stating what customers they think are most valuable, there is no way for the bank to disseminate that knowledge to the lines of business in a consistent, concise manner.  Nor have banks been able to incorporate that knowledge into the line of business applications used to support their customers.  The result is that all customers get the same treatment, good or bad, no matter their value to the bank.

Another challenge is the legal and business walls that prevent the whole picture of a customer from being seen.  Not everyone in the bank is allowed, for instance, to see the investment portfolio of customers or to see the commercial lending relationship that the customer’s business has.

As a solution, the right Customer Relationship Management (CRM) system can help show the total picture and guide internal processes and offers. With updated processes, the bank’s CRM system can consolidate all the customer’s relationships: if they have a mortgage, their kid’s 529 plans, they have IRA’s, or a business relationship.  Simple things like color coding a customer’s account record or providing the right icon in CRM help an end user quickly identify top-rated customers, highlighting areas where they can add the most value without providing access to information they are not allowed to see.

If a client is valuable to your bank, it is likely worth waiving some fees or giving a quarter percent more on a CD.  However, without this information readily available, employees can’t provide their highest value, and they risk offending the client or damaging the relationship.

The CRM system can also use the ranking of your clients to help build relationships proactively. You may want to call your top customers at each branch to see how things are going. Or you may want to call the customers who have provided the highest level of customer referrals regardless of the profitability of their individual accounts.

All businesses that deal with customers, especially banks, can benefit from improved CRM system processes. It can make all the difference in maintaining good relationships with your top clients – so that your high value customers feel highly valued.

Crowe CRM for Banking powered by Microsoft Dynamics 365 empowers bank staff with the tools and information needed to efficiently deliver high-quality, personalized service – for all interactions across all channels.   It gives managers and team members the information they need to be effective.

For more information, contact us at crminfo@crowe.com.

By Ryan Plourde, Crowe, Microsoft Dynamics 365 Gold Partner, www.crowecrm.com

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6 Threats to the High Availability of Your Data (and How to Solve Them)

November 21, 2018   Big Data
6 Threats to the High Availability of Your Data and How to Solve Them 6 Threats to the High Availability of Your Data (and How to Solve Them)
Christopher Tozzi avatar 1476151897 54x54 6 Threats to the High Availability of Your Data (and How to Solve Them)

Christopher Tozzi

November 21, 2018

Achieving high availability for data is tough. The best-laid data infrastructures often go awry (sorry, Steinbeck fans) for a variety of reasons, and they bring data availability down with them.

What are those things that can go awry and prevent data high availability? And what can you do to stop or mitigate them?

Let’s take a look at some of the obvious and not-so-obvious high availability problems you may encounter with your data infrastructure.

1. Infrastructure Failure

Let’s begin with what is probably the most obvious source of disruption to high availability for your data: Infrastructure failure. When part of your infrastructure goes down, you are likely to experience a disruption in service, and fail to achieve high availability.

Infrastructure failure can take many forms. It could mean a failed disk or a network switch that has become overloaded. It could involve virtual servers that crash because of problems with the hypervisor that powers them. It could be a bad memory stick that brings down a host server.

In practice, it’s pretty hard to know ahead of time which parts of your infrastructure are at risk of failing. For that reason, the best safeguard against this risk is to build redundancy and backups into your data infrastructure, and enable them via automated failover. Automated failover means (as the term implies) that the backup system takes over automatically when the main system goes down.

Assessing the Financial Impact of Downtime 6 Threats to the High Availability of Your Data (and How to Solve Them)

2. Infrastructure Overload

Another common problem for high availability for data is infrastructure overload.

It’s possible for the load placed on your infrastructure to become so great that the infrastructure can no longer handle it, and service is disrupted as a result. This could happen if, for example, you attempt to process a sudden influx of new data without having set up new infrastructure to handle it.

The best defense against this risk (beyond not deliberately overloading your infrastructure, of course) is to build scalability into your data infrastructure. This includes not just ensuring that you can set up new infrastructure quickly when you need it, but also thinking about scalability from a big-picture perspective: Will your IT team be able to scale up, too, when it has more data infrastructure to manage?

3. Malicious Activity

It may be obvious that there are bad people out there who want to disrupt your infrastructure’s high availability. Threats like DDoS attacks that originate on external networks can quickly bring your data and other services down.

But external attacks are not the only type of malicious threat. Your availability could also at risk from insider attacks carried out by, for example, a disgruntled employee.

There are some tools you can deploy, like anti-DDoS routers, to mitigate the risk of attacks. Since you can’t know exactly where an attack might originate, however, it is also important to have backups in place so that if data services are interrupted, or data is destroyed, you can restore it quickly from backups.

4. Data Inconsistency

Data that is not available in the format that you need to work with it, and cannot be transformed quickly enough to that format, poses a problem for high availability. Technically, data that exists in the wrong format may still be available, but unless you can transform it as required, it may as well not be available at all.

The best solution to this challenge is to ensure that you have flexible, automated data transformation tools at your disposal. With those tools, you can transform data quickly when you need to move it from one format (like a cloud-based block-level storage system) to another (like an on-premise file system).

5. Poor Data Quality

Data without data quality is not very useful. When your data sets are filled with inconsistencies, redundancies, inaccuracies or other issues, they prevent you from using data effectively, and undercut high availability.

Control this problem by leveraging data quality tools to clean up data sets, and building them into your data management processes. Data quality control shouldn’t be a one-off or periodic process; it should be part and parcel of the rest of your data management workflow.

6. Data Access Problems

Last but not least on our list of threats to high availability for data is data access. If the right users don’t have access to the right data, they won’t be able to do their jobs, and your data may as well not exist at all.

Ensuring that users who should have access to a given body of data while preventing unauthorized access requires careful planning, but it’s essential in order to achieve data security. Build access control into your data infrastructure from the beginning to help streamline your solution to this conundrum.

Make sure to also check out our white paper: Assessing the Financial Impact of Downtime

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In Today’s Computing World, High Latency is Not an Option

August 26, 2018   TIBCO Spotfire
GettyImages 485740530 960x558 In Today’s Computing World, High Latency is Not an Option

























Integration

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AI-Driven Marketing Offers High Hopes to B2B Firms

August 9, 2018   CRM News and Info

Versium on Tuesday announced a partnership with
LiveRamp, an Axiom company, to launch artificial intelligence-powered B2B audience segments,as part of a new business-to-business data management platform.

The partnership will let companies perform online targeting of offline business professional data that often is housed within their own CRM systems.

LiveRamp customers will get access to Versium’s modeling engine to create custom audiences optimized for their likelihood of engagement.

Versium will also offer unique business and consumer audiences built from its extensive LifeData Warehouse, which contains more than 1.5 trillion proprietary consumer and business professional behavioral data attributes, including social-graphic details, real-time event-based data, purchase interests, financial information, activities, skills and demographics.

When those attributes are matched to an enterprise’s internal data and used in Versium’s machine learning models, clients improve customer acquisition, retention and cross-sell and upsell marketing activities, the company said.

The partnership will “extend companies’ reach and ability to target business decision makers digitally leveraging our LifeData Warehouse,” Versium CEO Chris Matty told the E-Commerce Times.

“LiveRamp provides identity resolution so I can associate things like cookies with individuals,” noted Rebecca Wettemann, VP of research at Nucleus Research.

“Versium has the data on all those individuals as well as predictive analytics and modeling,” she told the E-Commerce Times.

Customers of Versium’s AI-powered solutions include Microsoft and T-Mobile.

What Versium Offers

Versium, founded in 2012, offers automated predictive analytics solutions based on its AI-powered analytics platform and exclusive LifeData targeting data warehouse. The solutions are offered via the Software as a Service model.

Versium’s LifeData Predictive Lead Score service, launched in 2016, is a self-service solution that lets marketing professionals, agencies and application providers rapidly build predictive models and visualize a marketing campaign’s projected performance without requiring expertise or experience in data science.

The service has three main features:

  • Predictive Model Builder — an automated self-service Web interface to build predictive models;
  • Real-time lead scoring — Datafinder’s API scores leads in real time; and
  • Prospect list scoring — organizations can upload and score existing prospect lists, so they can market to the most likely candidates for making purchases while slashing marketing costs.

Companies using the service see conversion rates increase by up to 900 percent, according to Versium.

“We use AI predictive modeling to identify the best target prospects most likely to engage in a specific enterprise solution,” Versium’s Matty said.

“Those models are constructed using advanced machine learning algorithms that analyze engagement and the characteristics of those who have engaged with past campaigns,” he explained.

LiveRamp’s Contribution

LiveRamp uses unique numbers called “Deal IDs” to match buyers and sellers of programmatic media. It has partnerships with other companies, including Bing for search marketing, and Google’s Customer Match, for which it initially created IdentityLink.

LiveRamp “brings the marketplace,” Matty said. “That is, they create the centralized data marketplace where Versium audiences can be purchased.”

While LiveRamp’s custom audience-building feature is available for business-to-consumer use, “the ability to reach business professionals has been hampered by low match rates to entity targeting parameters,” Matty pointed out.

“Versium solves that problem,” he said. “Further, most DMP audiences are select-based [rather than] custom generated from deep learning models or AI.”

Teaming up with LiveRamp gives Versium “a great partner in the ad-tech ecosystem that will help bring Versium B2B audiences to market,” Matty said.

“There’s a strong need in the market for better lead generation,” observed Denis Pombriant, principal at Beagle Research Group.

“Rather than relying exclusively on conventional marketing, some vendors are turning to analytics to identify the best potential prospects,” he told the E-Commerce Times. “They then spend time contacting relevant people to convert these into real leads. So this is a top-of-the-funnel activity, and I think it has legs.”

Tackling Buyers’ Avoidance of Salespeople

There’s a general trend among B2B purchasers to go online to research products and place orders instead of interacting with salespeople.

Twenty-three percent of 500 B2B companies recently surveyed by the Miller Heiman Group considered vendor salespeople a preferred problem-solving resource, and 58 percent saw little to differentiate sellers.

Convenience has been driving B2B procurement officers to opt for self-service over live salespeople, suggests an Avionos survey of procurement officers from 160 B2B companies in the U.S.

Increasingly, buyers don’t trust vendor reps. Only 23 percent of more than 650 technology buyers and vendors surveyed by TrustRadius said the vendor was highly influential in their purchasing decision. Only 37 percent of buyers thought vendors were as open about their products’ limitations during the sales process as they claimed to be.

Increasingly, B2B purchasers limit the role of salespeople to answering very specific questions after they’ve conducted online research, Miller Heiman found.

That doesn’t rule out the need for marketing, Versium’s Matty contended. “Buyers still have to learn about the solutions, and companies need to provide this education and awareness via online marketing.”

Further, concerns over customers’ inclination to avoid salespeople may be overblown.

“Don’t worry if customers don’t want to talk to the rep,” Pombriant remarked. “That’s happened throughout history.”

If avoiding interactions with salespeople is a growing trend, that only means sales needs “to engage with customers earlier in the process, almost before the customer is aware of a need,” Pombriant suggested.

Challenges to the Versium-LiveRamp Partnership

“As with any great new solution, it’s important to have an efficient go-to-market plan to accelerate sales,” Matty remarked. “Beyond LiveRamp, Versium’s solution to this challenge is to work closely with marketing agencies that play a key role in guiding companies on where to spend their ad dollars.”

One possible issue with the partnership is that each company might want to highlight its own importance when selling, Pombriant cautioned.

“Putting this in the hands of two similar but different sales teams with different approaches to selling seems to me to be counterproductive,” he said. “What happens when a customer has a problem? Who takes the lead?”

More typically, “we see partnerships going another way, with one of the entities being a ‘vendor’ to the other, which takes a conjoined product to market,” Pombriant noted.

The partnership could be overshadowed by bigger players such as Adobe, Oracle and Salesforce, said Nucleus’ Wettemann. They “already provide much of the capabilities, either organically or through partnerships, with tight links or integration to CRM.”

The challenge “is in operationalizing this data and targeting in a meaningful way without creating yet another CRM or marketing database,” she pointed out. “With most B2B marketers already struggling with multiple solutions and tools, another separate segmentation and modeling environment would have to be really differentiating to be compelling.”

Sales teams invest in 10 sales solutions, on average, but only four of those tools have an adoption rate of more than 50 percent, according to research by the Miller Heiman Group’s CSO Insights division.

Privacy issues also may be raised.

“DMPs have somewhat fallen out of vogue, particularly with GDPR and other
privacy concerns,” Wettemann noted. “There’s a fine line between clever and creepy with this stuff, you know.”
end enn AI Driven Marketing Offers High Hopes to B2B Firms


Richard%20Adhikari AI Driven Marketing Offers High Hopes to B2B Firms
Richard Adhikari has been an ECT News Network reporter since 2008. His areas of focus include cybersecurity, mobile technologies, CRM, databases, software development, mainframe and mid-range computing, and application development. He has written and edited for numerous publications, including Information Week and Computerworld. He is the author of two books on client/server technology.
Email Richard.

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