How do you assess the overall health and maturity of your Business Intelligence initiative? Big Data Analytics has recently received significant attention in the press and media. But this article is the first in a series that reviews the topics to be considered when reviewing the current status of a traditional Business Intelligence initiative. In part one, the functional areas of Data Visualization Services and Data Strategy Services are covered. In subsequent entries, Data Integration Services and BI tools and technologies will be discussed.
Data Visualization Services:
Enterprise-focused BI solution
Usually, BI initiatives tend to be focused on a particular functional area within an organization, and that area typically is the one that “owns” the initiative in terms of providing requirements and setting priorities. However, this introduces the problem of “data silos” and “data fiefdoms.” For example, the Sales team has their own analytics solution, but the procurement and purchasing division wants to build their own reporting solution that focuses on their specific requirements. This kind of behavior needs to be discouraged at the executive leadership level unless there is a compelling reason to go down that path. An “Enterprise-focused” BI solution should address all the data needs of the organization spanning multiple functional areas. For example, what if the senior leadership of a company wanted to know how many orders a top customer placed during a span of three months while his call center team needs to know the reason it has received an unacceptable amount of call about the quality of the product? This example involves merging sales analytics with contact center analytics and building an integrated enterprise Data Warehouse.