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Big Data is Being Changed Featured

Big Data is Being Changed Nick Fewings

Big data is proving to be a valuable resource that organizations can no longer ignore, regardless of the size or industry. It has changed the management and corporate landscape for the better, taking away the past when a person with the most experience was relied upon to make big decisions regarding the running of organizations. Today, data, not instinct, drive decision-making, which has reduced the cost of operations for businesses while enhancing the accuracy of decisions. Although there has been significant development in big data and analytics, there is still some room for more improvement. Here are some big data trends you should expect going forward.

  1. Automation

High-quality data is crucial for best-quality outcomes. However, the challenge posed by the complexity and sheer size of modern data makes quality data and outcomes challenging to achieve. Therefore, more and more companies are harnessing automation of processes to increase efficiency in data discovery, preparation and blending of disparate data.  Automation frees up the analysts to focus on high-value activities, which are necessary for the growth of an organization. Furthermore, it contributes to the efficiency of processes. As the adoption of big data continues rising and making its way into the manufacturing, retail, financial and travel industries, a response to massive quantities of data and its importance in making critical decisions will become even higher.

  1. Democratization

Unlike the notion that only analytics and data science professionals with knowledge in big data can perform in big data, the truth is the opposite. All users can now analyze data on their own with the help of the right and easy-to-use analytics automation platform. Unlike in the past when IT experts were hired to do the analytics, analytics solutions and cloud computing power and open source tools have democratized the industry. Users of these platforms can drag and drop items and see the results instantly. Democratization reduces the cost and increases the upskilling.

  1. User experience

User experience is finally getting much-needed recognition from B2B organizations. The availability of easy-to-use smartphone applications that consumers enjoy has increased the expectations when in B2B. Users want simple and interesting engagements with analytics tools, and this is perhaps one of the good things that automation platforms give them. With the challenges that mundane manual tasks can cause, users can practice data storytelling by putting together data elements to show a bigger picture and insights that will be important to the business. 

  1. Big data needs will spur innovations

As data sources continue rising, the increase will demand more storage. This means that the data storage methods will experience innovation to deal with this inevitable rise in data generation. Organizations will spend most of their resources storing data in different cloud-based and hybrid cloud systems optimized for big data. Furthermore, there will be an evolution of public and private cloud infrastructures as enterprises look for the economic and technical advantages of cloud computing. Apart from innovations in cloud storage and processing, organizations will seek new data architecture methods that will allow them to effectively handle the aspects of veracity, variety, and volume, which are the critical challenges in big data storage and retrieval.

  1. Analytics as a core function of a business

Many businesses are now embracing analytics as a mission-critical business function, unlike the past few years when it was used as a support function. To be successful, enterprises need support and commitment from the board and the C-suite. Therefore, they must invest in continuous analytics education and build a community led by a data culture, both inside an organization and with others.

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Scott Koegler

Scott Koegler is Executive Editor for Big Data & Analytics Tech Brief

scottkoegler.me/

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