So you’re a Business Analyst at an insurance company and you’ve been asked to alter the HR headcount calculation reports to meet new regulations. No problem, right? Well, not exactly.
With metadata scattered all over the place, where do you even find what needs to be changed within the formula that created the calculations? How are you supposed to know which reports are being influenced by the current calculations? How do you locate the relevant tables and other ETL objects?
This kind of metadata mapping can take weeks if not months…
BI’s Pain in the Neck
Compiling a report or implementing a change in a process made by millions of records from different reporting systems and data warehouses is a massive headache for BI professionals who often complain about the painful lack of clarity in the data journey. They end up putting loads of valuable time and effort into manually locating all the hops that specific data went through to land in a specific report, a process that is extremely time-consuming, costly, and often plagued with inaccuracies that yield invalid and unreliable reporting.
Not only is this a frustrating waste of the BI Manager’s professional potential, but it’s a major blow to businesses who end up losing precious time to market. Here’s where integrated metadata management comes in. A TDWI report looking at the cost justification of metadata management shows that metadata management can help not only reduce payroll costs but helps boost productivity to get more projects out of current staffing without raising payroll costs.
Okay, fine, we get that. But let’s be honest, the metadata management solutions available today are proprietary, vertical, and silo-based. They aren’t cross-platform and they still require a lot of manual work from our engineers. We are living in a generation where nearly everything is automated, so what’s the deal here? Why are BI groups still struggling with reports that don’t match up? Why does change implementation still freak us out? Why is the mass of critical business knowledge still in the hands of only a few people?
Automation, Baby.
It’s time to simplify and democratize the data movement process. It’s time to move from manual work and silo-based tools to a cross-platform centralized tool to manage the entire BI landscape.
An automated, cross-platform metadata management system solves all of these issues. With metadata centralized and accessible to everyone in the group, BI professionals will no longer lack visibility and control of metadata. BI groups are looking for an easy way to navigate, understand and govern shared metadata – where everything you need is all right there in seconds, literally as simple as a search engine.
Forget about wasting time toiling at metadata mapping and discovery. It’s time to empower BI professionals to focus on what they’re meant to be doing. It’s time to take the guesswork out of metadata discovery and make it totally painless.
Schedule a free demo today.
