Capgemini Weighs in on Data Virtualization
February 13, 2013 Leave a comment
New Report Addresses BI Urgency
Data Virtualization: How to get your Business Intelligence answers today is the title of a new thought leadership white paper from the Business Information Management group at Capgemini.
In it they cover a number of critical data virtualization topics including:
- The challenge: building data warehouses takes time, but analytics are needed urgently
- The solution: data virtualization
- Data virtualization in action
- How data virtualization works
- Business scenario: hospitality company
- Success factors for data virtualization
- Performance Optimization
- Checklist: could DV help your organization?
Why Data Virtualization?
The white paper makes a strong business case for data virtualization by focusing on the analytic and BI agility.
“In the current dynamic business environment, data, both structured and unstructured, is growing exponentially. Organizations urgently need to utilize this data to make better-informed decisions.”
The key word is “urgently.” Otherwise tried and true enterprise data warehouses would continue as the data integration solution of choice. The paper addresses this time-to-solution challenge with the following statement:
“Unfortunately, building an EDW, or even enhancing an existing one, is a laborious and time-consuming process that can typically take 6-24 months.”
Is Data Virtualization For Me?
As with any technology adoption, “do we really need it” is a critical question. Capgemini does their clients a good service by providing a solid evaluation checklist.
- “Is there mounting pressure from the business for quick, cost-effective reporting solutions?
- Is there a burning need to build real time reporting and analytics, and self-service BI?
- Do regulatory constraints stop you from replicating data, so that you need to access it within the source databases?
- Do you need to overcome departmental politics to allow your applications to share crucial information?
- Do you need to use an enterprise data bus to exchange data between applications?
- Do you need to integrate external sources (social networking, online sources, Dun & Bradstreet data etc.) with your internal applications and BI?
- Do you need to combine multiple data types – for example unstructured or structured data from a public cloud application with internal structured data?
- Does your organization use multiple BI each with a different presentation layer? “
I found Capgemini’s summary of data virtualization’s benefits to be spot on.
“To sum up, the main benefits of DV are:
- A single version of the truth, even when multiple BI solutions are used.
- A huge time-to-market improvement: a “virtual data warehouse” can be available faster than any other solution.
- The ability to provide information in a controlled way, while combining historical and real time data.
- Mitigation of vendor and technology dependency by putting a neutral layer between databases and the applications that use them. “
So check out Data Virtualization: How to get your Business Intelligence answers today and let me know what you think.