Quintillions of data are generated by us every year. Thanks to the revolutionary development of technology and the rapid penetration of the internet into a more rural and remote location. These large volumes of data, which on the outlook may seem unrelated and useless, have hidden patterns, trends and correlations that businesses can now unearth using big data, data analytics and data science. They can analyze these data and draw deep insights about various things related to and useful to their business operations. They can leverage these data insights to effectively develop and implement business strategies for better outcomes and success. Data analytics certification courses are a good way to gain an in-depth understanding of and skills in data analytics and insights.

Businesses must put in careful consideration while drafting their data insight strategy. Here are 5 tips to improve it.


What are your current and future goals? Having clarity about your organization’s vision, mission, objectives and current and future goals is extremely important when it comes to data insight strategy. Experts suggest there should be brainstorming and in-depth discussions about all of the above so that you know what the needs are, what the organization seeks from data analytics and in what way to use it so that data analytics is profitable. When organizations develop a data insight strategy without clarity on goals and careful consideration about the possibility of using data analytics at all, it is possible to easily digress and go on routes that do not do the business any good and would yield a very ROI.


Is your strategy business-based? It is of utmost importance that your organization’s data insight strategy is business-based and the other way around. Simply put, data should be a means to an end and not the end. The large volumes of data available at the disposal of the business should be leveraged to make better business decisions, make more profits and fulfil the business’ mission and goals. It would be wrong for a business to assume data alone will solve all their problems by itself. Analytics must be grounded in business understanding.


Be adaptable and flexible: Infuse flexibility and adaptability in your data insight strategy because technology, tools and mechanisms are rapidly changing as far as the data field is concerned. They may also be potential sources of data that are untapped. These changes and potential data sources usher in new possibilities and opportunities, which your organization must to able to incorporate and leverage.


Choosing the right tools: Different data analytics tools are best for different situations and needs. You need to, therefore, understand the needs of your business and choose the right tool. It is also crucial to have members of your analytics team are well-versed with multiple tools so as to be able to use the necessary tools for a given situation.


Account for external factors: It is critical that your data insight strategy complies with local and national laws relating to privacy, cyber activity, etc. It would be in the organization’s best interest to inform stakeholders about the use of their data and how it would benefit them. It is equally important to protect databases from cyber-attacks and gain customer trust.


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