virtualization Archives - Business Intelligence Info

Tag Archives: virtualization

3 Ways Data Virtualization is Evolving to Meet Market Demands

April 10, 2021 TIBCO Spotfire

Reading Time: 3 minutes

Why is data virtualization so popular today?

More industry leaders are implementing data virtualization as part of their data integration strategy than ever before. Data virtualization technology has steadily evolved over the past fifteen years, so why has interest suddenly spiked?

Because modern data virtualization solutions are proving incredibly valuable to data consumers, IT, and technical teams.

New capabilities are allowing companies to enable business-friendly data, faster provisioning of new data, and self-service data access.
With the rising interest in self-service data discovery, these capabilities are attracting business users and enabling them to find and build their own views across disparate data sources.
Technical teams are also benefiting from data virtualization as it reduces IT costs, enforces access controls for better governance and security, and supports data demands across the business.

To realize these benefits, more companies are looking to data virtualization. Below is a more in-depth look at the three major areas where data virtualization capabilities are evolving to meet growing market demands.

Data virtualization and self-service capabilities

Organizations are now seeing a rise in a new class of citizen data scientists and citizen data engineers who use self-service analytics tools. But their demands for data to access and consume can be overwhelming, requiring a data virtualization solution that gives them faster access to data while maintaining security and governance controls.

TIBCO^® Data Virtualization includes several new self-service capabilities, including:

A self-service web user interface that gives users the ability to rapidly create and publish their own views that are fine-tuned to best fit their needs. Users can create personalized views that will then be available for consumption by third party downstream apps.
Data catalog functionality allows the users to search and find available data. Users can therefore gain a full understanding of what data is available for their consumption, on cloud and on-premises.
With new virtual views, business analysts, data engineers, and developers can create datasets, perform complex SQL queries to manipulate data, and then publish the result set. Using a drag and drop feature, users can do so with limited or no knowledge of SQL.
An intuitive and updated layout ensures users can easily understand what they’re looking at and overall understand how the view was originally defined before making any updates.

Accelerating cloud migration with data virtualization

Most organizations are looking to move to the cloud, but this journey can be complex and opens up new challenges. While some hold the common belief that moving to the cloud will eliminate your data silos, most organizations face even more data silos in the cloud. Moving to the cloud actually increases a company’s data integration requirements.

And while there are several data integration approaches, data virtualization is the best option. Data virtualization can help organizations integrate cloud data silos and ensure a smooth, rapid migration to the cloud.

So, before you get started on your journey, make sure you can answer the following questions:

What are the top data challenges to migrating to the cloud?
What are the requirements to simplify data access?
How can data virtualization accelerate this migration?

For answers to these key questions, read this whitepaper or watch this webinar on best practices for accelerating workload migration to the cloud using data virtualization.

Data virtualization: a security layer for analytics

While enabling business users with self-service features may be a priority, businesses must strike the right balance between strong security and business agility. As data volume, variety, and complexity grows, requirements around compliance, protecting data assets, and mitigating risks becomes an increasingly important part of every data management strategy.

With TIBCO Data Virtualization, organizations can gain a unified view of all the data and a single consistent software layer for enterprise-wide data security management. This enables business and IT agility, inspires confidence, and increases productivity. Business users gain confidence in data, and IT benefits from better control and easier management of this critical enterprise asset.

To learn more about how to leverage data virtualization as a security layer for your analytics, check out this whitepaper.

The future of data virtualization

Every organization yearns for consistent, well-governed data that is easy to access and use. To achieve this, more businesses are turning to data virtualization and driving greater business value from their data.

Organizations are seeing a rise in a new class of citizen data scientists who use self-service analytics tools, requiring a data virtualization solution that gives them faster access to data while maintaining security and governance controls. Click To Tweet

Ready to do the same? To get started on your data virtualization journey, head to https://www.tibco.com/products/data-virtualization and begin laying the foundation for faster, smarter decision making.

Let’s block ads! (Why?)

The TIBCO Blog

Win-Win: Everyone Benefits from Adding Data Virtualization to Your Data Integration Toolbox

January 29, 2021 TIBCO Spotfire

Reading Time: 2 minutes

As a die-hard University of Texas alumnus, there is nothing better than spending a Saturday afternoon cheering my Longhorns on to victory. And those victories are especially sweet when they are at the expense of archrival University of Oklahoma. Sports are like that. Someone wins. Someone loses.

But in the business world, win-win is often a far more desirable outcome than win-lose. That’s what I like about data virtualization. By adding data virtualization to your data integration toolbox, everyone can win across your organization—from data consumers to data engineers.

We’ve already discussed why data virtualization needs to be a part of your data integration toolbox. But beyond having the right tools to perform their work, how do users across the organizations benefit from data virtualization?

A Win for Data Consumers

With data virtualization, data consumers benefit in several ways including:

● Business-friendly data: Deliver data in a business-relevant way instead of how it is stored in IT schemas. Maintain consistency with business definitions so everyone is on the same page.

● Faster time-to-data: Take advantage of the latest data from across distributed data sources. Provision new data requests quickly and react rapidly as requirements change.

● Self-service data access: Users can focus on how to apply data to a range of analytics and applications while technical teams focus on how to provision and manage it.

A Win for Data Engineers

Data engineering teams also benefit from adding data virtualization via:

● Reduced IT costs: Data virtualization requires a fraction of physical warehousing and ETL time and cost without the rigidity. Lower data engineering demand and fewer data copies mean significant savings.

● Stronger governance and security: Enforce access controls across all your data. Comply with regulations including those that require encryption and masking.

● Enterprise scale: Support diverse demands driven by multiple lines of business, hundreds of projects, and thousands of users while meeting your most demanding SLAs.

And when data consumers and data engineers are winning, your organization can move faster and smarter and win more of the market. Win-win-win!

By adding data virtualization to your data integration toolbox, everyone can win across your organization—from data consumers to data engineers. Click To Tweet

So, ready to see everyone win? Team up with TIBCO^® Data Virtualization, an enterprise solution that orchestrates access to all your data sources and provides sophisticated data management for better decision making.
And, for more on how to win with data virtualization, read this whitepaper on five next-generation data virtualization innovations that are driving greater business value for organizations.

Let’s block ads! (Why?)

The TIBCO Blog

How to Sell the Business on Data Virtualization

August 12, 2020 TIBCO Spotfire

Reading Time: 3 minutes

In today’s data-driven world, the winners will be the organizations that successfully gain a competitive advantage from their data, and the losers will fall behind.

Getting to the Business Case

But knowing this and doing something about it are two different things. Taking action to leverage your data is a multi-step journey, outlined below:

First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams. Furthermore, your data is more widely distributed across all manners of traditional, big data, Internet of Things (IoT), and cloud repositories than ever before, in effect unraveling your traditional replication-centric data architecture.
Second, you have to decide what approach you want to take. Look to industry analysts like Gartner, Forrester, and IDC for guidance. You’ll discover that they all have identified data virtualization as a must-have addition to your data integration tooling and a critical enabler to a more modern, distributed data architecture.
Third, you need to do more research. You can read the three seminal books on the subject. Then, meet with vendors, such as TIBCO, to investigate their data virtualization offerings. Also, make sure to look at peer companies to see how they’ve used data virtualization. And finally, consult with your favorite system integrator to learn about implementation best practices.
Fourth, you should build an adoption plan that starts with your highest-value, best-fit for data virtualization projects, then expands over time with data virtualization as the core capability used to modernize your data architecture.
Fifth, you can start to build your business case that funds the resources required.

In today’s data-driven world, the winners will be the organizations that successfully gain a competitive advantage from their data, and the losers will fall behind. Click To Tweet

Building the Business Case

Just as every business is unique, every business case is unique. But there are always two common elements. The first is a set of easy-to-understand value propositions that describe the business and IT benefits, clearly and concisely. This helps build consensus and get everyone on board. The second is a “CFO-ready” financial case that proves tangible value realization, rapid payback, and at least a 5X Return on Investment (ROI), if not more.

Data Virtualization’s Value Propositions at a Glance

Data virtualization delivers value to both the business and IT in many ways, including:

Business-friendly Data Views: Deliver data as business-relevant data views instead of how it is stored in IT schemas. Maintain consistency with business definitions so everyone is on the same page.
Faster Time-to-data: Take advantage of the latest data from across distributed data sources. Provision new data requests quickly and react rapidly as requirements change.
Self-service Data Access: Users focus on how to best use data to create business value, while technical teams focus on how to provision and manage it.
Reduced IT Costs: Data virtualization requires a fraction of physical warehousing and ETL time, cost, and rigidity. And since it lowers data engineering workloads along with requiring fewer data copies means significant savings.
Governance and Security: Enforce access controls across all your data. Comply with regulations including those that require encryption and masking.
Enterprise Scale: Support diverse data demands driven by multiple lines of business, hundreds of projects, and thousands of users while meeting your most demanding SLAs.

To help with your internal selling, this infographic summarizes these key value points in an easy-to-consume manner. If you require peer company proof points, read this ebook to learn more about how other organizations have realized similar value.

Building your “CFO-ready” Financial Case

Data virtualization presents a compelling financial case. The following drivers make data virtualization a “must-have” for organizations like yours.

Profit Growth: Data virtualization provides the data your organization requires to increase revenue and reduce costs.
Risk Reduction: Data virtualization’s up-to-the-minute data helps you manage business risk and reduce compliance penalties. Plus, data virtualization’s rapid development and quick iterations help you reduce your IT project risk.
Time-to-solution Acceleration: Your data virtualization projects are completed faster so business benefits are derived sooner. Lower project costs are an additional time-to-solution benefit.
Technology Optimization: Data virtualization improves the utilization of existing server and storage investments. And with less data replication required, hardware and governance savings are substantial.
Staff Productivity: Data virtualization’s easy-to-use, high-productivity design, and development environments improve your data engineering productivity.

To make it easy for you to build your financial case, TIBCO provides a Data Virtualization Value Realization and ROI tool you can use to capture your key inputs and derive the financial impacts of data virtualization adoption. Contact us today to get started.

The Bottom Line

Data-driven businesses rely on data virtualization to provide the data they need to win in today’s ever-changing business and technical environment. But you cannot take advantage of data virtualization’s benefits without selling the business. This blog sets you up for success. Make it so!

Let’s block ads! (Why?)

The TIBCO Blog

Data Virtualization Needs to be Part of your Data Integration Toolbox

May 10, 2020 TIBCO Spotfire

Reading Time: 3 minutes

Any craftsman worth their salt has a deep toolbox, knowing that the right specialty tool at hand makes all the difference when completing a high-quality job in a timely manner.

The same can be said for IT, and especially data engineers, responsible for providing data to business consumers. To perform their work, quickly and well, they need to have all the right tools in their data integration toolbox.

Right Tool, Right Job

A broad toolbox with the right combination of data integration capabilities can be extremely valuable when responding rapidly to data requests. It can mean the difference between frustrating delays or punctual satisfaction and better business results.

But there are a variety of data integration tools available today. And it is important to select the right tool if you want to get the job done successfully. To help data engineering leaders ensure their team’s toolbox has everything they need, there are 7 recognized styles for data delivery:

● Bulk/batch (ETL, ELT)

● Replication

● Messaging

● Data services orchestration

● Synchronization

● Data virtualization

● Streaming data integration

Contrary to what some may believe, it’s not about selecting just one of the above tools and assuming it will solve your data integration needs. Many companies will need a combination of data delivery styles to find success—a data integration toolbox that meets their various business goals. According to Gartner, “By 2021, more than 80 percent of organizations will use more than one data delivery style to execute their data integration use cases.”(1)

Why Include Data Virtualization in Your Toolbox

Of all those different data delivery styles, data virtualization is one of the most crucial ones and should be included in your toolbox. Data virtualization is a very useful tool that augments the existing data integration tools that you may already have. It provides a pragmatic integration approach that organizations are increasingly adopting to use along with their favorite ETL/ELT and replication tools.

In fact, according to Gartner’s 2018 Market Guide for Data Virtualization, “Through 2022, 60 percent of all organizations will implement data virtualization as one key delivery style in their data integration architecture…In 2011, only 11% of surveyed organizations reported that they were utilizing data virtualization in a focused set of use cases.” (2)

Cloud Data Sharing is Driving Data Virtualization Demand

But let’s face it, most people try to get by with as few tools as possible. So even when they know about power saws, they won’t buy one until they are faced with a “big job” that requires hundreds of cuts. Cloud data sharing is proving to be just that kind of “big job.”

Why is that? Well, while data and workloads are rapidly moving to the cloud, many legacy systems remain on-premises. This creates a number of new cloud data integration patterns including:

● Hybrid: Integrating on-premises and cloud data

● Multi-instance: Integrating multiple data sources within a single cloud provider

● Multi-cloud: Integrating data across multiple cloud providers

● All of the above: Integrating on-premises, multi-instance, and multi-cloud

With this “big job” of cloud data sharing, comes a need for the right tool to get the job done. Data engineering teams have found that data virtualization is the right integration tool across all these cloud integration patterns. Regardless of the on-premises and cloud topology, data virtualization provides complete, consistent, business-friendly data wherever it happens to live, without moving or replicating it. And even better, its virtualized, metadata-driven data views adapt quickly as your cloud topology changes.

To learn more about how data virtualization can help complete your data integration toolbox and improve your cloud data sharing, check out these educational data virtualization resources we’ve curated for you.

And stay tuned for my next blog on who can most benefit from data virtualization and how to get started!

(1) Gartner, Magic Quadrant for Data Integration Tools, Ehtisham Zaidi, Eric Thoo, Nick Heudecker, 1 August 2019
(2) Gartner Market Guide for Data Virtualization, Sharat Menon, Mark Beyer, Ehtisham Zaidi, Ankush Jain, November 16, 2018

Let’s block ads! (Why?)

The TIBCO Blog

Introducing: The Third Book to Ever Be Written on Data Virtualization

November 1, 2019 TIBCO Spotfire

Ever wonder where the phrase, “Good things come in threes” comes from? It’s actually from the Latin derivation, “Omne trium perfuctum,” which suggests that things that come in threes are inherently more satisfying than things of any other number.

With this principle in mind, this blog introduces the third book to be written on data virtualization, “Data Virtualization: Selected Writings,” recently published by my friend, independent analyst Rick van der Lans of R20/Consultancy.

Below I interview Rick about his new book as well as the state of data virtualization adoption today:

Let’s start with the basics, how do you define data virtualization?

“Two words capture the essence of data virtualization, ‘abstraction’ and ‘decoupling.’ With data virtualization, I can decouple data producers and data stores from data consumers. I can present a heterogeneous set of data stores as one logical (or virtual) database to all the data consumers using whatever language or tool they want. In addition, abstraction allows me to transform, aggregate, filter, and secure this data in every possible way.”

After many years in the making, data virtualization is now a hot topic in the market, why is that?

“I think there are two reasons. First, the economy is doing much better than when products such as TIBCO^® Data Virtualization first appeared on the market over a dozen years ago. Second, today so many organizations are striving to fulfill their digital transformation dreams, and to do that they need access to data. They need to use the data more extensively and widely. Data virtualization allows data to be accessed and unlocked more quickly and easily than many other technologies.”

We each wrote books about data virtualization several years ago, what inspired you to write a new book on the topic?

“Your book, “Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility,” did a great job providing case studies of successful data virtualization users, which educated organizations about what was possible. And my book, “Data Virtualization for Business Intelligence Systems: Revolutionizing Data Integration for Data Warehouses,” addressed deeper technical and architectural considerations and thus educated organizations about where data virtualization fits in their data and analytics infrastructures.

But since those books were published, the market has embraced data virtualization. So, today’s challenges are more operational and thus require more focused, pragmatic guidance on data virtualization adoption. By compiling a set of my most relevant data virtualization articles and whitepapers, this third book seeks to address this need, hopefully helping the adopters with current issues they struggle with.”

Who should read this book and why?

“I would say anyone involved in designing and developing modern, flexible data architectures and business intelligence systems. But also database specialists should know what you can do and cannot do with data virtualization.”

I noticed that our product, TIBCO^® Data Virtualization (TDV), was mentioned in your book. Can you expand on your relationship with TIBCO?

“While I remain vendor-neutral in my work with end-user clients, from the day I started to study data virtualization in more detail, I have always had a great relationship with the people behind TDV. They have been very helpful in supplying me with the right product information. Also, we have worked cooperatively on numerous whitepapers, covering various aspects of data virtualization, including some of the material included this book.”

One last question. How can readers get a copy of “Data Virtualization: Selected Writings?”

Introducing: The Third Book to Ever Be Written on Data Virtualization

“That’s an easy question. It’s only available as an eBook. Just go to lulu.com and search for the title. Or you can use this link.

I hope people will enjoy the book and that it will help them to understand data virtualization and related topics, such as the logical data warehouse and the data delivery platform.”

Three More Good Things

Thanks, Rick, and congratulations on delivering this insightful book! Interested in learning more about data virtualization? Let’s keep the blessing of threes going, here are the three new additional things you can check out:

Our on-demand webinar on Developing Modern Data Lakes with Data Virtualization (featuring Rick!)
A quick infographic on the benefits you’ll see with TIBCO Data Virtualization
A technical guide by Rick van der Lans on the Data Vault and Data Virtualization: Double Agility

Let’s block ads! (Why?)

The TIBCO Blog

How to Pick the Right Data Virtualization Solution for You

October 21, 2019 TIBCO Spotfire

Innovative companies today expect easy access to both historical and real-time data. But organizations need the right infrastructures set up to meet these growing expectations for analytics on demand. Many large organizations, searching for a solution to empower this data-driven business culture, have turned to data virtualization (DV). DV allows users to access information in a federated data layer, creating a central place for technical and non-technical employees to get the answers they need without moving large amounts of data.

How to Pick the Right Data Virtualization Solution for You — *From GigaOm Data Virtualization: A Spectrum of Appoaches (2019)*

With the exponential growth in data, it’s no surprise that we’re seeing increased adoption and implementation of DV to handle that data. While the technology isn’t new, the market continues to evolve with capabilities to meet modern challenges. We’ve seen it for ourselves. Read this blog to see why TIBCO^® Data Virtualization was such a hot topic at TIBCO NOW Chicago and will probably be just as much of a hit in London, September 25-26th.

So, in today’s market, what is the best data virtualization solution for you?

There are many factors that should go into choosing the right DV solution to meet your business needs. All of which go into independent technology research and analysis firm GigaOm’s 2019 Data Virtualization landscape report. With this report, GigaOm can help give you a better understanding of the implications of data virtualization, its impacts on business, media, and society as a whole, as well as evaluate potential vendors.

Here’s what you’ll find: TIBCO^® Data Virtualization, mentioned throughout the report, offers sophisticated data management that provides a unified, comprehensive view of your data, necessary for discovering insights.

We think it’s the best option for companies with evolving data needs and maturing architectures. But don’t take our word for it. Download the full 2019 “Data Virtualization: A Spectrum of Approaches” landscape report to explore current data virtualization products and technologies and see how TIBCO^® Data Virtualization stacks up against the competition.

Let’s block ads! (Why?)

The TIBCO Blog

KBTG Banks on TIBCO® Data Virtualization to Deliver Digital Lifestyle Banking

August 25, 2019 TIBCO Spotfire

In an era where our lifestyles are becoming more digital, KBTG is striving to be the digital bank of the future. A subsidiary of Thailand-based K Bank, KBTG provides 16 million retail banking customers with flexible and agile services. With the growth of digital banking, it needed to find a much faster way to provide data for internal teams enabling mobile banking apps. KBTG’s goal is to compete with non-banking companies that offer more choices for digital banking to fit customer lifestyles.

To solve this problem, KBTG turned to TIBCO® Data Virtualization software to improve its data delivery. The bank now leads the charge for digital lifestyle banking, where customers can perform all banking activities on a mobile device. With the implementation of TIBCO® Data Virtualization, KBTG can handle up to 10 million transactions per day, with the data virtualization layer pulling from 20-30 downstream systems and 12-15 data sources.

And the results speak for themselves; with a data virtualization layer, KBTG has seen the following benefits:

Provided stability for higher performance apps, better maintenance and support, and flexibility
Saved time and effort of physically moving data into a single source and a format that customers can easily understand
Drew data from various sources and published in a variety of formats within weeks, and delivered them in a standardized format within a single layer

Learn more about how KBTG used TIBCO® Data Virtualization software to create a stable data platform enabling high performing internal IT and mobile services to fulfill its goal.

Let’s block ads! (Why?)

The TIBCO Blog

Want Data Democracy? Enterprises Vote for TIBCO Data Virtualization

July 15, 2019 TIBCO Spotfire

Setting up a system to govern your data is crucial to ensure your organization runs smoothly. Just as the democratic system helps the American government function, you need data democracy to handle the demands of today’s digital world.

It’s essential that companies today understand the importance of data democracy and how to implement it. That’s why I decided to discuss how to Democratize Analytic Data with TIBCO^®Data Virtualization (TDV) with Stephen Archut, Senior Product Marketing Manager for TDV at our TIBCO NOW Chicago breakout session.

Today, organizations require massive amounts of data. They need it to transform their customer engagement to delight and retain their customers, to re-engineer their R&D and get new products to market faster than their competition, and to optimize their business processes for quick market responsiveness.

Digital companies rely on an informed citizenry, data for everyone in the organization, but what’s driving this growing need?

What’s Driving Data Democracy?

In today’s discussions around data, we call this “data democracy.” This trend has been growing rapidly and is primarily driven by these three massive business and technology shifts:

The “self-service BI” revolution: Part of this impressive growth has been caused by the initial and pervasive use of Excel and a new generation of powerful visualization tools such as TIBCO Spotfire^®. These tools have greatly expanded the analytics user counts from a limited IT team to nearly every professional at large organizations. With these tools, anyone can be a business analyst. To succeed, these millions of empowered users not only need easy data access, they expect it.
Insights as competitive advantage: Digital transformation is changing how businesses compete and win in today’s market. Whether the strategy is better customer experiences, faster time to market, or leaner business processes, data is the common fuel powering these massive transformations. And thus, data has become more important than ever.
Data is everywhere, yet nowhere: With the advent of big data, the Internet of Things (IoT), the cloud, and other technologies, data today is now distributed far beyond tightly controlled databases and warehouses. While these technologies are allowing firms to capture, process, and store more data than ever before, according to research by the Harvard Business Review and analyst firm IDC, organizations today struggle with using the data. Using less than half of what they have, gaining access to more than they need, and generally spending four hours finding and accessing data for every hour spent analyzing it, organizations need help with their current data strategy.

Want Data Democracy? Enterprises Vote for TIBCO Data Virtualization — *Results from Harvard Business Review study on data strategies *

Want Data Democracy? Vote for Data Virtualization!

At a glance, the concept behind data virtualization is not complicated. It’s all about hiding IT’s complexity to make data easier to use. It’s about making multiple, disparate data sources appear as one virtual source, independent of underlying structure and storage.

This is why according to leading analyst firms data virtualization demand is exploding.

“Enterprise data virtualization has become critical to every organization in overcoming growing data challenges. These platforms deliver faster access to connected data and support self-service and agile data-access.” ¹

“Through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture.” ²

As enterprise-grade middleware, TIBCO^®Data Virtualization provides the data access, federation, transformation, and delivery that organizations need to provide secure, consistent, governed data at data democracy scale.

During its 2018 TIBCO NOW presentation, Open Data Access for Everyone: Transforming with Data Virtualization, MetLife described how it was using TIBCO^®Data Virtualization to empower everyone at the company with access to nearly all its internal and external data, excluding regulated data. In less than a year since the initial purchase, it has delivered over 25 data-driven solutions and was well on its way toward true data democracy.

How Will You Vote?

If like others, you too are seeking the business value data democracy can unleash, then make a vote for TIBCO^®Data Virtualization.

To learn more, please check out the many resources available on the TIBCO^® Data Virtualization homepage.

Join us for the final stop of the 2019 TIBCO NOW Global Tour in London September 25-26 to discover more ways to fuel innovation through digital transformation.

1. The Forrester Wave^TM: Enterprise Data Virtualization, Q4 2017 The 13 Vendors That Matter Most And How They Stack Up by Noel Yuhanna. November 15, 2017

2. Gartner -Market Guide on Data Virtualization. 2018 by Ehtisham Zaidi, Mark A. Beyer, Ankush Jain. November 16, 2018

Let’s block ads! (Why?)

The TIBCO Blog

Elkjøp Puts Its Data Pedal to the Metal with TIBCO Data Virtualization

March 8, 2019 TIBCO Spotfire

Green binary numbers with integrated circuit

Data: your analytics teams can’t get enough, fast enough.

The same was true for over 300 business analysts at Elkjøp Nordic, the Nordic region’s largest electronics retailer with over 25 percent market share and over 11,000 employees. Not satisfied with this status quo, Elkjøp decided to re-engineer its approach to analytic data access.

Using TIBCO Data Virtualization as the technology foundation, BI Architect Johannes Melkeraaen led Elkjøp’s efforts. “VEDAL,” the brand Johannes coined for this new architecture, is an acronym for Virtual Enterprise Data Layer. As implemented, VEDAL provides a uniform, IT-controlled access point where Elkjøp’s analysts can easily find and access the data they are allowed to analyze, without having to worry about where the data actually resides.

Within less than a year, VEDAL quickly became the default source for all analytics data. The benefits have been incredible including:

Easier Access to Data – With one “virtual” place to go for analytic data, analysts were no longer challenged to understand where data resides, how it is formatted, and how to access it. The answer is always VEDAL.

Faster Time to Delivery for New Datasets – When analysts required new datasets, a task that once to take days or weeks to provision without VEDAL, now takes minutes or hours—an order of magnitude reduction in time to delivery.

Greater Data Protection – Leveraging TIBCO Data Virtualization’s integrated governance and security, Elkjøp easily protected sensitive data. IT decides what data they grant access to and can easily mask details that should not be hidden.

Better GDPR Compliance – TIBCO Data Virtualization helped Elkjøp IT ensure GDPR compliance. Analysts only see customer data that customers allow. And when not allowed, VEDAL constrains access accordingly.

Cost-Effectiveness – While demand for analytic data has grown, the number of employees supporting VEDAL, and the TIBCO Data Virtualization system behind it, have remained low.

Is now the time for you to put your data “VEDAL” to the metal?

If so, you can learn more about VEDAL and TIBCO Data Virtualization at Elkjøp by reading the full case study.

Let’s block ads! (Why?)

The TIBCO Blog

Candy Maker Cloetta Crystalizes Fact-based, Real-time Decision-making with TIBCO Data Virtualization

November 25, 2018 TIBCO Spotfire

Let’s block ads! (Why?)

The TIBCO Blog

Tag Archives: virtualization

3 Ways Data Virtualization is Evolving to Meet Market Demands

Why is data virtualization so popular today?

Data virtualization and self-service capabilities

Accelerating cloud migration with data virtualization

Data virtualization: a security layer for analytics

The future of data virtualization

Win-Win: Everyone Benefits from Adding Data Virtualization to Your Data Integration Toolbox

A Win for Data Consumers

A Win for Data Engineers

How to Sell the Business on Data Virtualization

Getting to the Business Case

Building the Business Case

Data Virtualization’s Value Propositions at a Glance

Building your “CFO-ready” Financial Case

The Bottom Line

Data Virtualization Needs to be Part of your Data Integration Toolbox

Right Tool, Right Job

Why Include Data Virtualization in Your Toolbox

Cloud Data Sharing is Driving Data Virtualization Demand

Introducing: The Third Book to Ever Be Written on Data Virtualization

How to Pick the Right Data Virtualization Solution for You

KBTG Banks on TIBCO® Data Virtualization to Deliver Digital Lifestyle Banking

Want Data Democracy? Enterprises Vote for TIBCO Data Virtualization

Elkjøp Puts Its Data Pedal to the Metal with TIBCO Data Virtualization

Candy Maker Cloetta Crystalizes Fact-based, Real-time Decision-making with TIBCO Data Virtualization

Recent Posts

Categories

Archives