Big Data, which many companies, fondly depend on for their decision-making efforts, fails them by the very virtue of its volume and scope. It is a matter of wonder that almost 80% of the big data projects. Companies that passionately adapt to looking at big data in the best hopes of making data-driven decisions almost do not see any major results from the endeavor. A Harvard University review states that around 99% of businesses it has surveyed reported that they intend to implement big data analytics and AI in the future but only around 30% have succeeded. When dealing with big data, there is not one but a host of concerns from predicting customer behavior to data archiving and monitoring, which equally need attention for successfully implementing a big data project. Though all companies cannot afford to monitor every parameter with gusto, there are some ground rules a company can follow to derive maximum output from their data science projects. They are:

• Identifying the business goal: A company needs to identify and shape the business goal before leveraging big data. There can be multiple goals such as enhancing operational efficiency, increasing customer representation efficiency, improving revenues, and many more.
• Evaluating big data strategies: The business owner should evaluate multiple big data strategies for the availability of real-time data with performance management, data exploration, social analytics, and decision science.
• Setting up digital transformation: The business should be set up for digital transformation for big data adoption. It needs to create many infrastructural changes for leveraging digital transformation.
• Importance of customer satisfaction: The business should focus on the importance of customer satisfaction. Big data helps to work on customer-oriented marketing by driving meaningful insights from relevant data of customer minds.
• Leveraging big data tools: A company should accept the use of different big data tools because it provides cost efficiency and better time management. Big data tools help in effective data management within a short period.
• Keeping an open mind: The company executive members should keep an open mind about adopting new and advanced big data techniques to drive more meaningful insights and gain a competitive edge in the tech- and data-driven market.

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