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Big Data 101: How to Improve the Bottom Line with Big Data

 A business should think for itself? Yes. We agree. 

The Kenyan Enterprise is yet to tap into the full benefits of  Data and Analytics as a competitive edge factor. As a firm, we are rolling out solutions in business intelligence services to turn the tide.

Our strategy is to help government agencies and private companies digitise processes and in essence, tap into analytics for agile business decision making.

The core aim is to have firms generate relevant data insights in real-time, that give actionable insights through tools such as machine learning and artificial intelligence,

Every business needs to balance freedom and data governance to achieve the best blend of self-service agility and operational consistency to fuel innovation without sacrificing accuracy and peace of mind. Though Kenyan companies are slowly getting into Business Intelligence and analytics, the relevance to make solid decisions is heavily relying on technology as now. Corporates use standard enterprise resource planning (ERP) software to keep stock of core business transactions such as accounting and human resource. All these systems store data in their respective databases.

However, this presents challenges about how a firm can reconcile transactions. There are so many links to be made between the data in various systems. Enterprises sometimes have systems from different vendors, meaning they use different descriptions for similar things. If ever you are going to see the big picture, all the data from all these separate systems need to be harmonized. Thus the highest hurdle in the Big Data industry is harmonisation of systems and rapid digital transformation. Done well, this shall eventually help firms become adaptive and plug-in systems that capture data seamlessly.

Critically BI & Analytics helps businesses achieve fact-based decision making and eliminate guesswork from board members’ minds.

When a company gets accurate real-time data from customer satisfaction surveys with all internal metrics, they can learn immediately where they need to give more attention to.

Various industries will benefit from BI & analytics such as companies in the service industries can get real-time analytical information and streamline its marketing and sales activities, make better, swifter decisions based on real-time information to uncover fresh insights that have served to improve its level of customer experience.

What about Data Privacy?

 The high value placed on data privacy is not surprising considering that many use cases revolve around customers. As analyses centre even more on customers, companies will have to focus even harder on anonymizing data to protect customer privacy. We implement elaborate processes that will need to take place before the actual analyses begin. The content, technical implementation and legal issues related to these processes all pose major challenges for companies today,

Big Data can contain business-critical knowledge as new problems arise in utilizing new systems. Manufacturers, for example, regard anything accessing their machines to capture machine data with suspicion. The reason is that these machines contain programs that are necessary for operations and must be protected as critical intellectual property.

Moving forward, BI and Analytics are at the core of digital transformation and the future of work.

“Every business needs to balance freedom and data governance to achieve the best blend of self-service agility and operational consistency to fuel innovation without sacrificing accuracy and peace of mind. BI and analytics will be the backbone of all informed decision-making process in the digital age.”

Case studies 

Kenya Bureau of Standards – Big Data & Analytics

With our expertise in Big Data, Business Intelligence and Analytics, we are helping the Kenya Bureau of Standards capture useful insight with customized dashboard and management reports, we make the decision of their quality checks and processes making a less tedious and more robust.