A DataOps approach needs to become the norm.
Updated: 20 hours ago
The breadth and depth of data that our clients deal with every day is growing and changing continuously.
Most of the time our Beyond Analysis clients live at the pointy end of the business in or close to Sales and Marketing where everyday, every week they need to keep delivering the numbers and keep up with an ever evolving set of customer demands.
All of this activity is generating huge amounts of data, aside from simply transactions, but all manner of behavioural information from websites, online advertising and promotions and unstructured data from social media to mention a few.
It used to be that you could harvest all this data, store it somewhere safe and as and when you had the time deploy some bright young minds onto it to see what insights you could glean on what was working and what was not.
In today's connected age, this is no longer the case. The customer expects to be able to interact with you across any channel, seamlessly and this means your data needs to be integrated together to serve you not just on an operational basis to deliver functions such as finance, but now also to meet the demands of Sales and Marketing. These teams need to be able to move at the pace of the customer, and you should expect them to change their minds on what they need almost continuously as their thinking evolves with their customers.
This means the old school approach of centralised BI and Insight teams with a portfolio of packaged analytics and reporting solutions are struggling to cut the mustard today. They are increasingly being seen as bottlenecks and the builders of data silos by their own business because they are just not set up culturally or technically to work at the speeds required by their fast-paced customer facing internal clients.
At Beyond Analysis, with our clients, we have embraced the DataOps model. Simply put, we build a single, unified & trusted view for the organisation, which we use to distribute the data straight out to the front-line so they can get on with winning new business. No fuss, minimum complexity and above all at the speed they dictate. The DataOps approach has lead us to focus on our development skill-sets; the importance of data engineering, analytics production and automation, code management and collaboration, artificial intelligence and bots. The sprint based mentality behind all our development keeps us ruthlessly focused on delivering what’s needed at the customer end of the business.