At Cisco Live! Melbourne, I was invited to speak at the Executive Symposium to nearly 100 of Cisco's top customers in the Australia and New Zealand region. In my talk,Gaining Insightfromthe Big Data Avalanche, I covered big data business opportunities and technology challenges.
To level set at the start, I opened with a definition of big data, including the typical velocity, volume, and variety seem to be the three V's everyone hears when it comes to big data. But then I challenged the audience to consider the fourth and in fact most important V, holding back on identifying it so the audience could consider what was missing.
Gaining Insight from the Big Data Avalanche from Cisco Data Center
After an appropriate pause, I told them the most important V was value. Value is the only reason to work on big data. This value must be seen in better business outcomes such as:
It is interesting how people get knocked off guard by the big data buzzwords. So go back to the basics. Start by getting your business case in order. Once the value to the business is understood, juggling higher data velocity, volume and/or variety becomes an engineering problem. Certainly, a new class of engineering problem, requiring new technologies and skills, but it is a fully solvable engineering problem nonetheless.
For IT, big data is as much an organizational change challenge, as a technology challenge. Practical first steps that seem to work well include: