Analytics

Organizations use analytical solutions that empower them to better target consumers, continue vendor consolidation, and increase access to cloud-based models, enterprise-grade security, and data governance solutions offered by market vendors.

The rapid expansion of data generated by IoT devices has uncovered an entirely new field of study for analysts. While web or app patterns are already enjoying the full attention of analysts, there are amazing opportunities in profiling patterns, behaviors, and understanding data from these new sources. 

While it is true that data is at the heart of any digital business today, data alone cannot provide all the answers. Companies require insights and actionable paths they can take to optimize and adjust  for maximum results.

Due to the complete digitization of all the products, managers, executives and entrepreneurs around the world have digital transformation at the top of their agenda. Nowadays, it’s almost impossible to imagine how the businesses of the future will look like without mentioning the transformation of their business to digital. 

Machine learning and AI help businesses jump light years as the technology improves automatically through use or experience. Besides constantly redefining our experience with products across all ecosystems, they became the Holy Grail for many companies, marketers, analysts, and programmers around the world.

You are an expert in programming and all the intricacies of the software. You could become the go-to person for any programming-related queries  and software troubleshooting for reporting activities. In addition,  you would carry out other analytics like predictive or prescriptive modeling in order to have data-driven decision making. 

More often than not, the best programmers are not the best modelers and vice versa. That is perhaps, because you need different kinds of temperaments for these two different skill sets. The person who creates the model is technically creating a statistical model in order to test a hypothesis of a business problem and come up with a solution that is a derivative of the data.

You can conceptualize and create analytics solutions to help solve business problems. You understand the problem to be solved and have the expertise to create the most appropriate analytical framework to solve the problem. You also recommend the best method or sets of methodologies to be used to solve the problems. You are the analytics architect.

You are able to create the most practical, impactful story that helps clients change their businesses. You have the ability to understand the business of the client, their pain points and pull together insights from the analysis to weave together powerful strategies for the client.

Your job is to convince prospective clients to use analytics in their business and show them how they can benefit. Potentially, you are convincing managers and owners to purchase analytical tools.