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All tagged Analytics
Pete Crawford writes for Whiteark about Digital Transformation. This is Part 2 of 2 in depth articles. Digital transformation execution depends on cultural change. Just as the approach to digital transformation requires a strategic, cross-functional and customer-focused mindset – rather than a focus on technological outputs – the success of execution depends on embracing new orientations…
Pete Crawford writes for Whiteark about Digital Transformation. This is Part 1 of 2 in depth articles. This is the first of two articles on digital transformation. Here, we will look at how the digital economy has reconfigured the business value chain and its effect on four key strategic capabilities – employees, customers, operations, and business models.
Pete Crawford writes for Whiteark about governing data - moving from principles to practice. Let’s face it, data governance has a reputation of being a worthy, essential, but staid topic – a necessary prop underpinning aggressive innovative strategies or new analytic frontiers such as automated decision platforms powered by Deep Learning models.
How data teams organise themselves and evolve their operating model directly dictates the speed and success in delivering clearly defined value. There is often ambiguity associated over team roles – especially as tasks change in response to technology services that accelerate the ability to automate, collaborate and experiment.
Pete Crawford writes for Whiteark about positioning your data and analytics within your organisation. Regardless of whether a data team is comprised of two, 20 or 100 people its ability to produce actionable insights and outcomes is heavily compromised if capabilities are not aligned to business needs.
Pete Crawford writes for Whiteark about how we should be treating data as a product. He explains, even prior to COVID, the development of mature data and analytics capabilities was regarded by over 75% of organisations as a ‘mission-critical function’ as central as IT, HR and finance units. Now, there is even greater urgency to formalise data as a cornerstone of digital transformation.
Data is a valuable resource but often businesses find it challenging to unlock that value due to the fact that copious amounts of data clouds the space. Not to mention the challenges that come with collecting, organising and activating it. Decision-Ready Data is critical to informing business decisions and strategic direction.
According to Gartner’s research (Strategy Execution Change Model Survey in 2019), only 46% of Executives and Managers felt their efforts were aligned to strategy. There are 4 key building blocks to guide the process of strategy to execution: Market and Industry Trends, Company Strategy, Build the Plan and Manage Performance
You don’t need to be a big fish to make the most of your data. You just have to start somewhere. If you’ve read a few of my articles, you’ll know I’m passionate about the importance of data and analytics to drive good business decisions both strategic and operational. Not everyone is doing this, which means there are lots of exciting opportunities for many businesses to unlock.
A good data strategy will help you look at your business to identify outputs that will help you deliver. In 2020 we’re in an amazing position to understand our customers and business functions like never before. And it all comes down to the sheer volume of data at our fingertips.
People have an amazing capacity to forget. To revert to their old behaviours. And that might have been the case if COVID had come and gone quickly. But it’s not going anywhere, and we all know by now - this time it’s going to be different. The question on everyone’s minds is not ‘when will this be over?’, it’s ‘what will the new normal look like?’
