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Data Strategy

Transform your data into a true organisational asset and a powerful competitive advantage

What is a data strategy?

Simply put, it is a vision towards and organisations ability to become data driven. It is a long term plan that encompasses how an organisation collects, processes, analyses and distributes data. It defines what those processes look like today and an envisaged goal of what they could look like in the future with a pathway to realising those goals.
A true data strategy includes cognisance of people, process and technology and seeks to drive a data led plan across all functions rather than just focussing on one. It will also recognise that there is always opportunity to improve data quality and  compliance.
Ultimately a good data strategy will step change an organisation approach to data, realising it as a true asset, assigning value to it and using it to drive competitive mission advantage.

Benefits of a Data Strategy

Help Drive Down Costs

With despirate applications and pots of data it is hard to see the wood from the trees. A data strategy can help you rationalise your data and more often than not lead to signficiant efficiency savings.

Improved Customer Advocacy and Retention

A good strategy helps you better achieve your mission and through better service enables you to improve your customer interactions.

Increase Productivity and Efficiency

The best organisations are the most efficient organisations, data can help you slimline your supply chain and processes helping to increase productivity and efficiency and to reduce cost.

Increased Business Responsiveness to Market

Pre-empt and react to the ever changing local and global situation. A good data strategy looks outward as much as inward for data inspiration that could make your organisation more agile.

Gain Competitive Advantage

Large businesses started their data journey years ago and they have stayed ahead because of it but a good data strategy can help you compete and even find new angles which you can move in before anyone else.

Rationalise Security

A good data strategy will put data security upfront and centre, but it will also review and seek to rationalise that security which can lead to a number of benefits across efficiency and cost.

Our Data Strategy Process

01 . Establish Business Objectives

First up we need to establish the business objectives, without these we cannot understand how data can have an effect

02. Identify Data

This sounds obvious, but so many organisations arent actually aware of where they hold data, particularly where they dont identify that data as valuable (currently)

03.  Facilitate Sharing

So many organisations collect the same data in multiple systems or purchase external data multiple times for different business units, rationalising your data can help increase efficiency and drive down cost.

04.  Integrate and Automate

Working out what data is required where and then automating the process of getting that data there at the correct time and in the correct type can be transformational to businesses

05.  Establish Culture

Up front we said that data needs to be pervasive across people, process and technology - unfortunately the only way to step change through a data strategy is to bring your people with you, by engendering a data culture

06.  Protect Data

Data protection is key, not just for legal and compliance but also for competitive advantage, our cyber expertise allows us to talk about this from a position of great authority

07.  Analyse and Refine

Periodically we need to review the effect the data strategy is having and more importantly test and refine the strategy so it maintains effectiveness and meets its objectives

Ready to begin or review your data journey?

Reach out to us now and no matter where you are on your journey our data experts can assist!

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