Building a team for Big Data success
Most business people know that big data success takes more than just the latest technology. The right big data strategy (aligned to broader bigger-picture corporate objectives), strong big data processes (in reporting and governance, for example) and big data cultures (with strong commitments to data-driven decision making) are critical ingredients, too.
Still, big data strategy discussions too often focus – even obsess on – the ginormous data volumes, the dizzying range of data infrastructure options and the shiny new technology du jour. And they almost always overlook one crucial variable: the people who generate the critical insights that reveal game-changing opportunities.
People as Big Data difference makers
In fact, having the right people and teams may be the big data best practice. But, according to a 2014 IDG Enterprise survey of 750 IT decision makers, 40% of big data projects challenged by a skills shortage.
It’s not just a specific technical big data skill set or single discipline that companies need, but rather a range of expertise and knowledge. Yes, technical chops are a must-have. But a broader understanding of big data best practices in specific operational contexts – from sales and service, to finance and the supply chain – are also essential.
The bottom line
Yes, the right big data infrastructure and robust big data analytical capabilities are critical for success. But human and cultural factors are more likely to be the difference makers. A strong big data organization, with the right big data skills, knowledge and experiences cannot be overlooked. The brightest big data minds know that people – smart seasoned pros who get both the business and the data – are the secret sauce when it comes to big data success.