Posted by  Charles Clark  Published on  30 Jan 2014
  • Data Strategy

In previous posts, we’ve looked at the key data management and analytics predictions for 2014, but now I wanted to give 5 practical takeaways that you can use to improve your data management and analytics projects in 2014.

So here are my 5 top tips for improving your data management and analytics strategies in 2014:

Embrace Complexity

Data is complex, and there is no way to get away from that. What organizations must be wary of is those vendors who say that they have a quick fix and data can be visualized perfectly. There are many out there who are endeavoring to commoditize analytics in an effort to cash in on the cloud wave.  But this simply exemplifies a lack of understanding of the complexities surrounding data management and analytics.  Dig deeper, and ask these providers how they will go about solving your data integration, cleansing and enrichment problems for example.

Data Champion

Successful analytics and data management projects must have at least one internal champion to ensure a project’s success and further rollout. Without this, as many organizations have found, it is the first stumbling block for an analytics deployment.

Data – Domain of the Many, Not the Few

In 2014, high performance organizations will be those that successfully use data as a means to drive their businesses forward by placing analytics into the educated hands of the many rather than the elite few. The key is to deploy a single solution with a broad range of capabilities that can be used by a variety of users – from data specialists to business decision makers.

Take a New Approach

Use an evolutionary rather than revolutionary approach to unlock data value. Look for fast, flexible, automated solutions that acknowledge all the sensitivities and concerns around data privacy, security and governance.

Continuously Review

Successful analytics isn’t a “one-and-done” approach. It needs continuous monitoring, review and improvement. Set defined review timelines, and get feedback from stakeholders across your organization – the more that is put into reviewing and ensuring analytics and data management approaches match strategic goals, the more success the business will achieve as a whole. 

Take a look at the earlier posts in our 2014 Predictions for data management and analytics - Part 1 and Part 2.