Top 3 BI Adoption Hurdles and Tips for Jumping Over Them
While attending the Boston Executive Summit for The Data Warehouse Institute (TDWI) in July 2014, I learned a shocking statistic. Among the most mature organizations, only 30% had rated themselves as having a high adoption rate for BI usage. So for the rest of us, including about 70% of mature organizations, it's probably a fair bet that we're making decisions based on inaccurate data or gut-feel.
Why do BI Adoption rates among companies remain low?
We are still making decisions without adequate data, making reactive, gut-feel decisions because of these top 3 reasons:
- Rigid Systems
When systems are too rigid or a single data warehouse schema is too hard to change, a lot of companies find they can't get to a winning BI strategy. People end up creating and managing their own reporting inside departments because of this inflexibility and the risk of inaccurate data pulled from various places increases. Let's call this Trust Issue #1. - Missing Data
More often than not, ERP, CRM, or whatever systems you have are never the only systems that matter. There's always going to be something else that you want to take data from across different schemas. Having adequate data and everyone operating off of the same data is a huge advantage but many companies still have significant data gaps that prevent tasks from being completed. We can call this Trust Issue #2. - Gaps in Workflow
According to a recent Forbes article, "Business Intelligence (BI) Isn't. Very Intelligent. Yet.," almost half of all companies fill reporting needs through manual extraction, feeding the information to spreadsheets or PDFs. And ...FREE Membership Required to View Full Content:
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