Tag Archives: DSO

When It Comes to Data Quality Delivery, the Soft Stuff Is the Hard Stuff (Part 4 of 6)

In my previous post I emphasized the importance of demonstrated project management fundamentals as a key enabler of effective data quality delivery. In this blog, I will discuss why an understanding of corporate financial concepts is so important to data quality success.

Despite the continued evolution of data management technologies and the growing awareness of the challenges and promises of data quality, business buy-in is still a major barrier to the widespread adoption of data quality as another lever to achieve operational effectiveness. One of the key reasons for limited adoption is a clear linkage between data quality and a business’s performance, which is measured in a myriad of ways from operational metrics to managerial reports to formal KPIs. But, eventually, the enterprise’s performance is summarized in three key financial statements; the income statement, the balance sheet and the cash flow statement. Positioning data quality impacts or improvements in the context of these financial statements begins to “connect the dots” and moves data quality from the abstract to the concrete and from the theoretical to the practical. To illustrate this point, let’s take a look at the impacts and implications of a simple data quality issue like “undeliverable” billing addresses. (more…)

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Posted in Big Data, Business Impact / Benefits, Business/IT Collaboration, Data Governance, Data Quality, Enterprise Data Management, Master Data Management, Operational Efficiency | Tagged , , , , , , , , , | Leave a comment

Is Your SAP BW Ready for HANA? Consider Nearline or Archiving to Reduce Your Production Data Size

The buzzword of the 2012 SAP TechEd was HANA. All sessions were fully booked with long lines in the corridors with IT managers, developers, DBAs and BASIS administrators anticipating the miracles of memory computing performance.

I attended sessions about archiving, near-line and preparedness to uptake HANA. On the other hand, those sessions were almost empty, some having less than 10 people in the room. It makes me wonder: do people realize that HANA may be the future, but to be able to deploy it economically and practically, you need to manage the data volume in your current production environment? (more…)

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Posted in Application ILM | Tagged , , , , , , , | Leave a comment