3 Things You Need To Know About Data Analytics Solutions | Rockstate of Mind
407
post-template-default,single,single-post,postid-407,single-format-standard,ajax_fade,page_not_loaded,,qode-title-hidden,qode_grid_1300,qode-content-sidebar-responsive,qode-theme-ver-14.3,qode-theme-bridge,disabled_footer_top
analytics

3 Things You Need To Know About Data Analytics Solutions

Data analytics solutions are important for making crucial business decisions because they allow your business to use real numbers for their future projections instead of just relying on guesswork and instinctual risk taking. This means that you can prepare for changes in your business environment and get a more accurate picture of what impact your policies and strategies are having.

The best way to implement data analytics solutions is to have a pre-prepared set of guiding principles that allow you to make the most of the information supplied to you. If your business is looking at implementing data analytics solutions, the following guide will help clear up any confusion you may have.

 

Information gathering

Obviously, the first step is effectively using data analytics solutions is to collect the information. Sales records are the obvious first place to source some numbers, however you can also benefit greatly from gathering demographic information on your customer base. It’s also good to collect information on customer loyalty and how often they return or swap items.

A great way to gather more information from your customers is to introduce a loyalty program that rewards them for repeat purchases. The rewards cards issued by supermarket chains are a good example of this strategy as they also collect data about what items customers are buying.

Tracking one-off transactions is a lot harder because its hard to incentive people to give information voluntarily. If you operate an online business, then tracking customer data will obviously be a lot easier since they will need to supply both their IP and physical address for shipments to be made to them.

 

Processing information

Once you have collected all the information required to implement data analytics solutions, you then need to translate it into a format that’s useable. This format will change depending on the nature of the information you gathered, but it’s nonetheless essential when planning your data analytics solutions.

It’s a good idea to make sure that your customers are personally unidentifiable to your processors. For example, an examination of your demographics could be organised by suburb names rather than specific street addresses. Names can be replaced with identifying numbers.

This information includes details of their age, gender and spending habits. Cross-referencing this information with other material can give you a 360-degree view of your customers.

You and your team will also need to make sure of special software that can process all this information and formulate the answers you need. Once all the information is combined you can then make sure of it to build predictive models and identify risks and/or opportunities.

 

Implementing data analytics solutions

Now that all the information has been collected and properly organised, you now need to plan for what to do with it all. Now you can reap the rewards of your past preparation by making highly accurate predictions and real-time decisions.

Your data analytics solutions will help you figure out what the major strengths and flaws of your business are. They can identify issues that you would have otherwise never have acknowledged because of their seeming insignificance in the grand scale of your business.

As you can see, data analytics solutions are fantastic for any business that wants to overhaul its strategic ability to predict and prepare for change. This enables your business to stay ahead of its competitors and nip problems in the bud before they fester and put a drain on your resources.

Hopefully the above information will enable you to take your business and its strategic planning to the next level.

 

No Comments

Sorry, the comment form is closed at this time.