Digital Transformation: The Ultimate Guide to Becoming an Information Company

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The data revolution is gaining pace at breakneck speed, and we are finally towards the latter end of its implementation. Many inroads have been made by important stakeholders, and numerous organizations are currently trying to incorporate a data culture within their workplace. Future predictions suggest thatevery company will eventually be part of the data brigade and will benefit from the use of data analysis tools. 

With growing hype across the market, many organizations want to know as much as they can about the intricacies involved in becoming a data/information company and what they need to do to become one. Although the questions are many, it is easy to answer them. 

Being a part of the data revolution is no different to what it was back in the day. Similar motivation is needed, and organizations need to know the importance of the process and the benefits that it would bring to them. 

The biggest benefit motivating organizations into taking the leap forward is the promise of enhanced customer experiences. Customer expectations are growing, but organizations currently seem lost for action in regards to what to do in the face of such challenges. They do have the willpower for change, but that willpower requires extensive investment and the promise of better operations to succeed. The use of data related to customer information has really helped organizations customize offerings and give their customers the experience they need. Business models that didn’t use data previously have now latched on to the revolution in data and have started crafting their offerings in such a way that they sound personalized to each and every customer. 

The data process starts through the extraction of data, but this is not where it stops. Most organizations believe that they have done their job by extracting data, but, believe me, this is only one quarter of the job done. The main focus of the data revolution is on the value that is taken out of the extracted data. The data wouldn’t amount to much if the organization wasn’t able to find any value in it. Only if there was value being extracted through the data would this process be considered successful. 

With information from the data in front of them, organizations are eventually expected to act upon them. These actionable insights propel organizations into action and force them into altering their products and services based on these insights. Again, customer experience sits at the center of the process as the ultimate aim is to satisfy the customer and give them an unparalleled experience. 

Becoming an information company and eventually achieving maturity in monetizing data is definitely not for the faint-hearted. The process requires a lot of primary and secondary skills and needs lot of human investment other than the capital investment that is being provided. 

Any organization that is looking for maturity in data monetization needs the following steps. We are focusing more on the internal facets of being a mature data company than the external aspects. 

Once you have reached the maturity stage, you will have to go towards the implementation of data monetization strategies.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.