Embedded Analytics

Big Data Drives Businesses of All Sizes

The Value of Data Analytics

In this video, you’ll learn why businesses of all sizes are investing so heavily in big data.

Big data and big data analytics are big business. IDC projects the market to grow to $50 billion by 2019. So what do organizations that invest in big data expect to achieve. Is there still a role for intuition in decision-making? Essentially, businesses pursue three objectives with big data: understanding the past, improving the present, and predicting the future. We’re also increasingly surrounded by data-driven smart systems that are reshaping the way we work and the economy we work in.


Hi, everyone. I’m here to talk to you today about the value of data analytics. Companies all over the world are investing millions of dollars in data and analytics. So, what’s the upshot? Well, there are three things.

Understanding the Past and Present. Predicting the Future of Big Data

One, they apply data and analytics to understand the past, for instance, which campaigns in our marketing department have provided the best return. We’ve been doing that for many, many years.

Second, they want to optimize the present. This is where we find information from the past to understand how we can do things better today, such as which packaging of our product provides the best lift in sales? How can we optimize our store layouts and shelf layouts in a store to optimize revenue?

And, finally, you want to mine historical data also to predict the future. Which customers are likely to respond to this offer? Which machine on our factory floor is likely to break? These are the three main values that data and analytics can provide organizations.

Data-Driven Operations and Decision-Making

But, frankly, the use of data and the use of analytics is permeating all facets of our organizations, helping us to improve the way we interact with customers, the way we manage our supply chain, the way we optimize our workforce and improve productivity, how we optimize our operations, identify bottlenecks and adapt quickly to changes in the environment and how we reduce risk and others.

Frankly, many companies are using data and analytics kind of a solve to intuition or decisions made by gut feel alone. We’re moving now to the world and realm of data-driven decision-making and data-driven organizations. And that means balancing art and science. Art or gut feel and intuition experiential decisions is very important, at times our intuition and our gut feel is very accurate, but in many cases it’s not. That’s when we need data to validate what we think is right.

At the same time we also need our intuition to validate the data because sometimes the data can lead us astray. Research has shown that the best decisions come from balancing intuition with data.

Analytics as the Center of Digital Ecosystems

Finally, we’re also seeing data and analytics at the center of these new emerging digital ecosystems where analytics is creating a real-time digital fabric that connects people to materials, products, processes and machines to create an environment in which we can learn from and adapt to new events so we can automate processes and we can make people more productive by giving them the information they need at the time they need it.

And this type of digital ecosystem is emerging in many types of industries from smart manufacturing to the sharing economy epitomized by Uber and Lyft, to the digital battlefield. We’re now fighting wars digitally using data and analytics at the core to coordinate our weapons, as well as our soldiers, both on the ground and in the air. Also, smart buildings and smart cars and traffic with autonomous cars being at the center of these perhaps someday.

So, data analytics is becoming not just reshaping the way our organizations work, but also our economy and even our society itself.

Big Data Drives Businesses of All Sizes

Learn why businesses of all sizes are investing so heavily in big data, with IDC projecting the market to grow to $50 billion by 2019.


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