Have you ever wished that you had a time machine so you could go back in time and change some things because with what you know now, you would have made more informed and ultimately better decisions in those circumstances?
Think about all the data accessible to your organization and ask yourself how many of the decision makers in the organization have access to the data or can make sense of the data? Even if they don’t have access to the data or cannot make sense of a pile of data, do they at least have all the information they need in order to make the right decisions for the organization?
A good number of organizations have been leveraging reporting, Business intelligence and analytics for their businesses over the years, there have been some lessons along the way and we want to share some of those with you.
Data Is Everywhere
From the purchase orders, the day to day operations, the call logs to the inventory, the data in your CRM and more. There is a vast volume of data available to your organization or business and the logical thing to do is to build a data warehouse however, you should be mindful of the fact that you do not need an expensive solution like Teradata or the likes. An open source tool like SQL (with a basic license) provides the fundamental ability to pull data from multiple sources, transform the raw data into cleaned data, making staged tables of the data and creating a warehouse schema as a foundation. With that, you are good to go and the most important thing is that you will need a strategy on how to create and maintain your data warehouse.
Some Users In Your Organization Are Not Data Analysts
You may have the skills of a data analyst and be able to understand the language an analyst would use in a report or you might even be the one preparing the report but do you take cognizance that most of the other people in your organization or team are not analysts (at least not yet)
Yes, you have made a fine report laced with fresh and workable insights but you will do one better by ensuring that you use the normal business language that the other (sometimes major) decision makes in your organization understands. Simply put, try to adapt the language your report speaks to the normal language of the CRM or ERP that the other report users are used to.
Don’t Play The role of A Mind Reader
If a request is not clear to you, make the needed clarifications before embarking on a time-wasting mission of working out what you thought the request was and getting a ‘this is not what i meant or needed’ feedback. Time is important to you and your team member who made the request so make all necessary clarification before barking up the wrong tree.
Don’t waste your team building a report that is incorrect or not needed when you could have easily made clarifications and put your time to better use.
Well, these are a few tips on how you can become a better analyst and a more efficient one at that. Are you new to the world of Data Science and Data Analytics or you need upskilling in order to stay top of your game? Check out our various courses at https://www.pandata.ng/courses/