Big Data Analytics Solutions: The Data Management Revolution by Prashant Gurav April 23, 2020 3 Minutes ReadWith the emerging options provided by big data solution providers, it has become an interesting field to analyze considering its future aspects in every industry. At present, big data solutions have become more powerful than any other analytics of the past and various business executives are ready to measure its precise level. The big data solutions companies have led the world to make smart decisions and to project better results, hence it has become convenient to make effective interventions in every industry that was earlier dominated by intuition rather than data and calculations. It is also significant that real-time information has made it possible for the big data analytics service providers to remain much more ahead than the competitors. Definition of big data The utility of big data is almost seen everywhere and it can be defined as a structured or unstructured assembly of voluminous data that can inundate the day-to-day processes of any business. This service also provides insight to business owners to make proper strategies. In general big data refers to the collection of data from various digital or traditional sources representing the source of its ongoing Discovery and predictive analysis. Over the years, big data has grown exponentially, especially in the fields of cloud computing, multimedia computing, social media platforms, mobile development and many more. What makes big data analytics solutions different? Several factors make big data consulting services different from the corresponding solutions. This includes: Volume – in simple terms large numbers of data are developed now as compared to before and rough estimates are above 50,000 million. Velocity – the data which is created with the utilization of big data services is incredibly faster and it can be said that it is close to the real-time factors. Variety – large numbers of big data services companies play a key role in manufacturing the data and it comes from various sources for forums, including social data. It also involves the information which is generated from social networks like Twitter, Facebook and so on. Much of the data which is available from these resources is unstructured, that is it lacks organized structure in a database which refers to the problem of analysis. Milestones in the big data consulting services The big data consulting services have enough potential to revolutionize data management. Given its features, various business managers can easily measure their processes and translate the efficiencies during decision making. The tech giants like Google or Amazon are already taking this path. The utilization of big data services can easily transform the traditional business segments for small as well as large businesses. The service has equal utility in supply chain management to understand the defects and customer services, intervening reliable solutions to its handlers. Let us see how they are indulging the real-time dynamics- 1. Improving the predictions The big data services companies can easily make accurate information available across platforms, sharing the latest updates with everyone. The analytics of big data powered by advanced Management solutions give the organizations a comprehensive profile of the customer and enables them to deliver the ultimate customer experience. 2. Driving the sales Big data solutions have the potential to drive sales for any business platform generating the maximum value from the data available from customers, vendors and products. The big data solution providers provide the ability to the companies to aggregate their data from multiple resources in real-time.These results enhance customer engagement effectively through interactions and marketing programs. 3. Reduction in cost The big data consulting services help the companies decrease their overhead and other expenses in real-time. The tools offered by big data can increase the overall efficiency of the operations, along with reducing the cost. Also, it does not alter the primary goal of the enterprises. 4. Fraud detection One of the most incredible benefits of Big Data analytics is that it can actively check for any fraudulent activity. Its systems also rely on machine learning algorithms that have a distinctive pattern for detecting anomalies. The tools offered by the big data solutions enable financial platforms to spot any stolen card or false purchase even before the cardholder knows that something has gone wrong. 5. Customer Acquisition And Retention Accumulating customer data is one of the crucial aspects of understanding who matters to your business. The more customer data gathered means the more you understand the behaviour of your customer base and have the ability to devise more personalized and effective customer acquisition campaigns. With big data analysis, enterprises can also track specific behaviors of current customers who are on the verge of leaving and work on identifying their needs and concerns. Conclusion It is essential to understand that despite the advantages of big data analytics solutions, its vision is still critical for various platforms to utilize its complete efficiencies because if any big data solutions companies select the unreliable platform, then it can ultimately lead to failure. Considering the emerging dynamics of big data analytics service providers, it can be said that these services are shaping the future of various business management processes and also helping to create a reliable management revolution. Related Posts: 5 Beginner Hacks to Improve Database Management Performance for Startups Importance of Mobile Applications in Blockchain Management 7 Areas Where SaaS Scores over On-premise Solutions Tags: big data, cloud data, coud, data analyse, SaaS Strategy, technology Prashant Gurav Prashant.Gurav@andolasoft.com A problem solver and a project manager currently working in Cuelogic technologies. I am responsible for managing large scale project teams comprising of full stack developers solving complex technological challenges. Adept with Amazon, Azure and Google Cloud & infra platforms. Experience of working with 10+ Backend + Front End technologies. Evangelist for lean methodologies and continuous improvement of process, people and technology.