I am an undergraduate (or any other) student & want to pursue career in Analytics, what should I do? I want to build a career / shift my career in Business Analytics, how should I go about doing so? Further, I receive multiple queries through mail / social media / comments asking the same. In order to make sure these queries are addressed in best possible manner, I thought it's best to write an article on this and provide a starting platform for everyone. While the subject itself is wide, I'll provide an overview of various things which can be done and focus on specific sub-topics through additional posts later on.
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GIDAR is an Analytics Method that ensures systematic Business Impact. Why do we still struggle to make sense of the enormous amount of data available in the information era? GIDAR Analysis method addresses these points for you to avoid the Big Data hype trap. By setting up SMART Goals, applying a step by step process and using change management techniques, you will move from meaningless Reports to Results. GIDAR offers an easy yet powerful tool called the GIDAR Analytics Canvas that ensures that Information and Data translate into Change and Results.
The answers to the innumerable business opportunities we face lie in our data, yet our thirst for business insight often goes unsatisfied. The growing use of analytics in organizations is powered by analytics teams, which are often underfunded, misunderstood, and starved for talent. Extracting business value from data depends on nurturing the development and effectiveness of these groups. Yet, despite the demand, just a quarter of analytics teams operate as "business drivers" today, proactively leveraging data to unearth business opportunity. Most are seen as internal "consultants" (41%) or "service providers" (31%), suggesting opportunity on the side of both analytics teams, and the leadership they serve.
With the supply of analytics talent in the labor force slowly growing to meet demand, a majority of companies are looking within their own walls for solutions. While there is clearly a need for new graduates and data scientists who know the most cutting-edge techniques of analysis, there is just as much of a need for information workers who know both the business and technical sides of an organization. Current employees who are able to develop an analytics skill set and combine that with their knowledge of the business can be invaluable when moving analytical insights across the "last mile" to decision makers. For companies that find it difficult to lure top talent, their analytics capability can make substantial advances by looking differently at their own existing talent. Companies that are most successful with analytics have a very different approach to hiring, training, integrating and promoting data workers than other organizations.