TALKING

Now that CTOs , CIOs and CDOs are working in lock-step with a more digitally-aware workforce , the positive impact of data on projects and transformations has undeniably grown .

The implemented strategy needs to look at the overall goals of Digital Transformation and the importance that the newly formed data culture will play within that . Once this has been decided and changes are being made , it ’ s time to think about implementing the right technology .

Armed with the right tools , employees with the right mindset can be empowered to change the fabric of an organisation – it can be beneficial to look out for the following things when creating your digital infrastructure :

It ’ s examples like this that can be applied to all lines of business , from finance to marketing , HR to sales – when everyone starts thinking about data prioritisation , analysis and use then changes can start to be made which properly deliver on the promises of Digital Transformation . The benefits are not only to the organisation : data-driven work leads to more intelligent decisions , which leads to better jobs – as the old adage goes , ‘ work smarter , not harder ’.

From culture to transformation

Translating your newly nurtured culture into hard transformation is no small task and it starts with a carefully crafted strategy that sets out the answers to who , what , where , when , why and how . Outlining exactly how your new strategy will affect different teams across the business is essential to ensuring the approach has a central direction with measurable outcomes . Properly outlining a strategy will also help you build an appropriate schedule of training and support for your team as they change to a datadriven mindset .

Data management – A data-driven business needs one thing to thrive ; data . As simple as it sounds , many businesses can find that important information can sit siloed out of reach of the people who need it most and may be able to derive the most value from it . Putting in place the right technology which can properly integrate , store and analyse and catalogue data is an essential first step .

Low-code / no-code – Technology that employs a low-code / no-code approach can reduce the degree of expertise required to engage with complex applications and systems . This can have the dual effect of reducing strain on beleaguered IT teams and also accelerating data-based decision-making out into the lines of business , resulting in that they can be more agile in what they do .

Catalogue – With your newfound explosion of data within your organisation , keeping track of what is where can be difficult . Deploying a platform that can offer you a holistic view of your data landscape can give you the edge in keeping track of what ’ s going on .

AI-powered – In recent years , the benefits promised by evangelists of AI and ML tech have been wide and varied , however , today we have a much more realistic view of what it can achieve .

AI can help to enhance and supplement , or augment human decision-making . Any technology supplemented by AI may give you the edge against the competition .

Conclusion

The creation of a data culture and company-wide Digital Transformation are two sides of the same coin . Both processes have the power to revolutionise the way businesses operate and can work complimentarily of one another with one acting as a catalyst for the other . Making sure that the right mindset , training , skills , leadership and technology are ready is the best place to start . p

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