Sanjay Vyas

CEO, Diyotta

Recently, I had the privilege to co-present a webinar on data modernization with Mark McKinney (Director of Analytics at Sprint) and Piet Loubser (VP of Product and Solutions Marketing at Hortonworks). The theme across all the presenters was pretty loud and clear – if you have not started thinking about data modernization yet, it’s time. If you are already onboard then plan big, act small and move fast. In this blog, I expand on some of the key takeaways from the webinar.

Organizations are becoming data conscious and recognizing the potential of the data hence, the modernization journey, as Mark very well pointed out, should be closely aligned with business imperatives. We often make a common mistake by starting with technology imperatives like EDW Modernization and many other names but in my opinion, business outcomes should drive the technology strategy and not the other way around.

The game changer for data modernization is not the technology itself (and by no means I am trying to undermine the revolutionary and disruptive technologies out there), rather, it is the approach you take towards the modernization. Whether your modernization drivers include acquiring data that was never accessed before or improving the data management processes around ETL/ELT for optimization and/or reduce cost or centered around your organization’s cloud strategy, it’s the modernization approach which can become the game changer for your organization.

Mark mentioned during the webinar, plan your modernization strategy and when you are done, plan some more. Make sure that you have the buy-in from key business stakeholders and align the technology direction with the business outcomes. Take an iterative approach with iterations which result in incremental success. Realign if you find yourself on a wrong path which very well may happen as we tend get driven by rapidly evolving technology landscape.

Thinking big requires an ability to map the business priorities against technical direction, for e.g., hardware capacity is not just to manage the data volume only but also to ensure you have good compute power as well. Also look the hardware which is extensible in terms of adding more capacity in future rather than replacing the hardware. Also, some key considerations which may impact significantly down the line for e.g. real-time architecture. Lastly, business and IT adoption of the new strategy is another very important dimension in planning your strategy. Internal evangelization, using tools which can leverage existing skillset and building out a digital transformation strategy for better analytics are few of the key takeaways we learnt from Sprint’s journey.

As the telecom industry is going through the digital transformation phase, there are many battles which are yet to be conquered like Customer Journey Analysis, Network Forecast Analytics, Fraud Analytics, Call Center Analytics, Social Media Analytics just to name a few. All these business imperatives can trigger your modernization journey.

Putting the webinar link here for a webcast, I am sure it will be an interesting watch. Also, some additional references to a couple of telecom case studies. I would love to hear about your journey and any tips you have for the community who are in the same boat.

References:

Webcast link: http://bit.ly/2AoyveH

Hortonworks Diyotta Telco Case Study pdf: http://bit.ly/2kESDSJ

Network Forecast Analytics: http://bit.ly/2wSLTBZ

Hadoop Summit 2016: https://www.youtube.com/watch?v=mrC0osNORpQ