Thursday, August 18, 2022
UncategorizedHow to Create Big Data Strategy for Your Business

How to Create Big Data Strategy for Your Business

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Companies, including gaming sites such as those on this Playtech casino list, are efficient in the collection of data to promote their products and services to clients.

Most businesses are paying attention to having a Big Data strategy due to how inexpensive it has become to gather info. When used in the right way, firms can obliterate their competition while knocking customers’ socks off. Big Data strategy comes in to change the competitive angle of various industries, including that of gambling.

However, it is estimated that more than 90% of global companies have ineffective data analysation policies and weakly-designed strategies to go around the issues. Nonetheless, the varsity and variety of tools available for use make it easy to exploit monumental information to meet market demands and maximum competitive potential. Here is a step by step guide on how to create a Big Data strategy. 

Identify Initiatives

The only way you can shape your overall strategy is by analysing what is essential to the firm. Take time to assess what needs to be accomplished, the reason behind it, and the expected outcomes once everything is said and done. The stated goal should be clear and point directly to the purpose of exploring the venture. This step demands a lot of time investment to create a vision of how all the data collected will impact your initiatives. Each of the business initiatives should be centred around the acceleration and optimisation of the company’s products while making room for those involved to learn from the made decisions.

Choose a Proven Strategy

The most significant hurdle faced by companies when creating Big Data strategy using traditional methods is that the collected information can be outdated as soon as the process is completed. The new data and innovations that crop up in their place then result in other issues that require fresh solutions. Therefore, abandon outdated approaches and consider some that prove useful. 

One of the most effective approaches is Performance Management. This method entails the use of transactional data that can easily be found within the organisation like purchase histories and inventory levels. For instance, casinos can easily assess data using players’ deposits and stake placement for better segmentation and targeting of bonuses. 

Social Analytics, on the other hand, mines for data that is not found in history databases but rather on mediums like social media spaces, such as Facebook, Twitter, and Instagram. This approach provides insight into what people think of certain products, which helps project the demand for each one.

Assess the Expected Changes

Big Data strategy application comes with some implementation risks, especially if your current infrastructure is not built to support the system’s complexities. The company’s finances have to be in good order to ensure that it can withstand the impact of the changes no matter how big or small. Also, the firm’s staff may have to go through a retraining process to understand their role in the collection and streamlining of data for better use. Engage intimately with each department and have frequent meetings that centre on their focus areas and how they will be impacted. 

Weigh the Economic Value

The application of changes in a company mostly involves time and money sacrifices. Once the expected infrastructural alterations are identified, look into whether the results are worth their application troubles. The implementation of a Big Data strategy is only valuable if the data being exploited has the power to unlock better operational insights. 

Image: Matthew Kwong on Unsplash

Fish for Talent

Set aside the most critical pieces of the project and create a special Big Data team to complete them. The established team can have people of diverse capabilities, but three key members have to be there:

  • Statisticians – analyse collected data in a way that makes sense
  • Business analysts – single out what would be useful in the project
  • Decision-makers – lead the team and make important decisions regarding the data presented to them

Proper communication skills help these members to avoid ending up with data that is unclear for each party. Effective language helps analyse each insight thoroughly and makes the entire execution process simpler to handle.

Image: Annie Spratt on Unsplash

Make the Client King

The most crucial piece in the Big Data strategy chess board is the customer. One of the key focuses of the data collection project should centre on how to improve customer satisfaction. Get the point across to each client that your focus is mainly on solving their problem, and the money is a side effect. When collecting data to take your marketing practices to the next level, steer clear of abusing any privacy policies. The last thing clients want to feel is like they are being watched.


Too many casinos and companies, in general, need to advance their Big Data strategies to survive the current competition model. These few steps brush on how firms can uncover detailed information for optimised revenue opportunities and better customer experiences.


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