10 Oct 2022

Data Strategies Series | Where are organisations’ data strategies post-Covid? (Guest Blog by NetApp)

Author: Chris Roberts, Director, Solutions Engineering, NetApp

Data strategies are tailor-made and specifically defined to improve data management across a whole organisation, giving departments the guidance they need to work in alignment with each other, rather than against each other.

For businesses to maximise their chances of success in the new digital economy, they must develop and embrace a digital presence, and cultivate digital assets. As they improve their business processes, and become more data-driven, they must find ways to create an environment that’s conducive to the use of digital technology. One way of doing this in a systematic and effective way is by creating and following a data strategy.

Data strategies define how data will help an organisation to meet its goals. Specific and actionable, any such strategy should lay out how they expect these data activities to happen, any changes the organisation might need to make to maximise the value these activities, as well as timelines and financial justifications.

The impact of a poor data strategy

The sheer amount of data organisations are producing, collecting, and accessing today means that informal approaches to collecting and managing data is no longer enough. And that’s not even before you start to think of the environmental and sustainability impacts – something that is higher on the boardroom agenda in a world where stakeholders are much more focused on a business’ Environment, Social and Governance credentials. Data strategies are tailor-made and specifically defined to improve data management across a whole organisation, giving departments the guidance they need to work in alignment with each other, rather than against each other.

Post-Covid, many more organisations are enabled for remote and hybrid working than they were previously. Documents and applications have been moved into the cloud, and collaboration and video conferencing tools are an innate part of working life for many. This means that data strategies have had to evolve to support this new reality. At first, making all this available was an emergency measure, to keep things moving during various lockdowns. But with employees and teams now used to the flexibility and agility to connect from anywhere, data strategies will need to change in order to identify and support more permanent capabilities.

As businesses face ongoing economic uncertainty and turbulence, now is an ideal time to examine their digital capabilities and find ways to make data work harder and smarter for them.

Evolving your data strategy

So how can businesses refine and evolve their data strategy?

It starts with truly understanding the data footprint that they have:

  • How much resides on-prem, in the cloud, or in other locations?
  • What data does an organisation need to collect and how is it being used?
  • What data is mission-critical, and what can be retained on more of an archive basis?

Making informed decisions can only happen once leaders are across all these details. Once a business knows what their current data footprint looks like, they can then start to consider their options. Bringing on board a trusted advisor at this stage might be useful to help provide extra support here.

For example:

  • Are there ways to become more efficient in where data is being saved?
  • Can some storage locations can be consolidated to save costs?
  • Could an organisation move more of their data into the public cloud, and work with one of the hyperscaler providers to improve the environmental impact of storing and managing their data?

Some sectors have additional mandates to follow when it comes to data. Financial services organisations for example must collect and retain a great deal of historical data as part of reporting requirements. They must put in place the right mix of storage technologies together to support these needs, in a way that is as cost-effective and sustainable as possible.

As businesses face ongoing economic uncertainty and turbulence, now is an ideal time to examine their digital capabilities and find ways to make data work harder and smarter for them.

Building and implementing a robust data strategy will help them put their best foot forward.

What is Value Stream Management and why does it matter?

As part of techUK’s Data Strategies Series, this session brings together industry data leaders to explore the rise of Value Stream Management as a tool for helping organisations reach the full potential of their investment in data strategies.

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Data Strategies Series

This series explores the tools and strategies businesses are using to unlock the value of data and deliver better products and services to customers.

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Katherine Holden

Katherine Holden

Associate Director, Data Analytics, AI and Digital ID, techUK

Sue Daley

Sue Daley

Director, Technology and Innovation