I hear large corporations admit they spent millions of dollars on data integration projects such as data warehouses, data marts, enterprise resource planning (ERP), and corporate […]
If you work in IT, you better like alphabet soup: Master data management; customer data integration (CDI); corporate performance management (CPM); Business Intelligence(BI); enterprise application information […]
The thought of meta data management doesn’t exactly inspire whoops of joy from the average IT manager. However, like flossing, it’s one of those things you’ve […]
If you’re trying to architect or build a cost-effective, productive business intelligence (BI) program, it’s important that you thoroughly understand the data franchising component of the […]
Key components of the data integration framework (DIF) are the software tools used to create, deploy and maintain it. This month, we discuss tools used for […]
Data standards ensure the consistency, accuracy, integrity and validity that are critical to your success. Data is not usually clean and consistent, especially when gathered […]
In my earlier column “Do You Need a Data Integration Center of Expertise?,” I discussed these key points: You need to integrate data, not just create another version of […]
This month, we explore the impact of several Business intelligence (BI) trends on data integration. These trends include: business (or corporate) performance management (BPM or CPM), […]
Reining in the proliferation of expensive, redundant data silos requires a methodical approach that includes establishing a data integration center of expertise. In their quest for […]
Remember the Betamax? How about eight-track tapes? If you remember either of these tape formats, you understand the importance of standards. Adhere to the wrong ones […]
The business users are restless. They’re looking to you for a solution that’s long overdue. It’s tempting to rush and buy technology to solve your problems, […]
In an earlier column, I provided an overview of the five data integration framework (DIF) components. This month, I will examine the first component –information […]
Last month, I introduced you to the concept of a data integration framework (DIF) – a combination of processes, standards, people and tools that ultimately helps […]
Reining in the proliferation of expensive, redundant data silos requires a methodical approach that includes establishing a data integration center of expertise. In their quest for […]