On Thursday September 13th IDG Benelux and VEEAM hosted a luncheon in Antwerp on data management for an agile, digital enterprise. Various digital leaders from Flanders gathered together to exchange their thoughts on data and digital strategy. Industries varying form banking to pharma and chemicals which made it a vivid discussion worth its while. Data was approached from all angles varying from company cultures to variations per vertical.
Those Steps ahead start with insight
The future beholds the new paradigm of the intelligent digital mesh, as hyper-connectivity is the inevitable way of tomorrow. It may seem obvious and simple, it all starts with a rock-solid vision and a clear strategy. Excellent data management implies doing your homework thoroughly. Being native at data processes and having a culture of metrics brings true competitive advantage into the mix.
Intelligent Digital Mesh needs a culture of metrics
The banking industry has data management in their core. For decades the financial sector has trust embedded as the base of their trade and has compliancy at the top of their list. This has established their strategic data horizon, including its careful handling and planning. Data is in the DNA of banking. When starting with a data strategy, what do we learn from their genetic make-up?
In benefit of the customers
To be one step ahead in benefit of your customers, insight in data is the cornerstone of just that. Client centric thinking in a hyper connected world. It entails a wide approach working on data management, platforms, appearance, the data capabilities and underpinning the differences in- and levels of management. So, depending on your agility and data quality needs, you will need a fresh outlook on your data management capabilities. It all depends on types of data and the ultimate goal. Simon Sineks WHY also counts for data strategy but unfortunately the why is always complex.
Meet The Variables at the table
We need to get to an excellent level of data-savviness and become more customer centric. Amazon does a pretty good job and so does Uber. The truth is, most of us do not stand in these giant-data-shoes. The true challenge lays in the finding an own data-path through the variables in process, professions and data, and that is company and sector reliant. Feedback loops in finance are relatively short while looking at pharma, medical trials can run for years, having little to no feedback thrust. The chemical industry has a hard time with data agility looking at the extensiveness and span of their target markets, the omnipresent application of their products plus a distant consumer. In this case the inventory for a data-management strategy requires an in-depth understanding of the variety in value chains for each market combination.
The Hyper-growth and Hyper-sprawl of data are key challenges for both the pharmaceutical as the chemical Industry. Applications are processing data from various locations and environments, users are often located in remote environments. A clear data-management strategy plus a culture of metrics is clearly not always possible. And yet..." It could just all start with taking inventory on the sprawl of your data to spark that master data plan", says Henry Manese, VEEAM Enterprise Director Northern EMEA.
The pragmatic cascade
What about the companies that need to work from the ground up? Have a glance at storage, process and vulnerabilities. How is recovery covered? How do you avoid data loss and how do we guarantee the recovery of every file, application or virtual server? Eventually... all of this will lead to leveraged data, ending in complete visibility allowing it all to work with AI for predictability.