Every so often I overhear interesting conversations while standing in line at a store or waiting to board a flight. Recently, I heard this one:
Person 1: I literally put on 5 pounds between Thanksgiving and New Year’s.
Person 2: Don’t get me started…I’ll be working all year to knock off the 10 pounds I picked up over the holidays, just to be back where I was before Thanksgiving.
Person 1: Yeah I’ll exercise full-force through January but by February, let’s be honest – I’m tired of it. One step forward, two steps back…
This scenario is true for many of us; we take a step in the right direction toward our goal, but then get distracted and fall behind. Now that 2013 is underway, it’s time to make some data management resolutions and stick to them.
Data management is an overarching term that includes all the disciplines related to creating, housing, delivering, maintaining and retiring data, with the goal of valuing data as a corporate asset. And it’s not just an enterprise issue anymore. SMBs also find themselves struggling with growing data volumes and subpar data quality. Organizations of all sizes and industries are implementing business intelligence software to glean insight from their data, but the thing no one wants to talk about is this: how many BI projects get delayed due to issues with that data. Whether data or their definitions vary across systems or there are rows that violate relationship rules (many-to-one, one-to-many), data integrity issues must be resolved before you can expect great results from your BI software.
Here are some practical steps you can take to get your data back in shape this year: