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Benefits of Big Data for Business Processes

Innovative companies are leveraging big data to inform operational strategies. Learn more about big data benefits for business processes here.

AUGUST 22, 2018

It’s not an understatement to say that most enterprises today have more data than they know what to do with it. IBM discovered that we create nearly 2.5 quintillion bytes of data each day. To give you a better idea of the significance of 2.5 quintillion, picture 17 zeros behind 2.5. This massive number means that simply describing it as “data” is an inaccurate representation. Data sets this large and complex can make ordinary computing systems crash under their sheer digital weight. The only phrase to define them is big data.

How Big Data Analytics Can Shape Bigger and Better Business Processes

With mountains of big data stacking up for many organizations across the world, smart, innovative companies are leveraging it through big data analytics to inform operational strategies and drive transformation of business processes.

Big Data. Big Insights. Big Ideas.

Big data is being used to gain a competitive advantage, enabling companies to plan for growth, revenue and risk when it’s analyzed and harnessed effectively. To do so, a big data analytics system is necessary to gain real-time insights into what is and isn’t working for a given company and make effective, on-the-fly business decisions. It’s not enough anymore to simply collect data and process it at a whim—big data is facilitating a new wave of predictive and prescriptive insights that serve almost as a crystal ball into the future for companies to gaze into, confidently predict outcomes and implement fast decision-making to achieve these big data-driven prognostications.

That said, it should come as no surprise that the effective, holistic deployment of big data analytics is one of the major methods for driving successful business process transformation. To keep up avoid challenges in our rapidly evolving digital and technological landscape, businesses need insights from big data to remain relevant and more forward-thinking. Real-time data can also offer a more in-depth understanding into customer behaviors and preferences that allows companies to offer greater, more targeted value. This combination of strategic decision-making and customer insight from big data analysis allows a company to truly grow, scale and reach newer, more profitable heights.

Visualize. Analyze. Actualize.

IDC reports that 71% of so-called big data innovators (early adopters who prioritize big data analytics) employ advanced technologies and tools that offer them real-time visualization into big data and higher-level forecasting to reap the above benefits. Here are some other commonalities among companies taking this approach to influence business outcomes and revamp business processes for the better:

  • Receive support from all organizational levels championing big data analytics

  • Achieve data mining in a more secure, timely and efficient manner, making big data analytics much more relevant to business goals

  • Attain a faster ROI from big data analytics (generally within the first six months)

  • Strive for continued advances in big data technologies to drive business growth and transformation

How Big Data Analytics Can Shape Bigger and Better Business Processes

Harness Big Data with Advanced Analytics

At Sutherland, our unique approach to business transformation—combining big data analytics, machine learning and design thinking with process-level automation—has given us a critical competitive advantage, according to ISG. What results is more informed business insights, more confident decision-making and greater visibility across business operations for companies and customers alike. 

None of this could be achieved without a simple, comprehensive big data platform that offers predictive and prescriptive analytics. No matter how well your business is operating and performing, there’s always room to be better. 

That starts with embracing and leveraging big data analytics.

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