Procurement

Data Analytics: The Foundation for a Smarter Supply Chain

Share this post:

There’s a lot of buzz around Big Data and data analytics in leading supply chain organizations. But what’s all the buzz about? And how can supply chain organizations apply data analytics to improve their operations and outcomes?

In layman’s terms, Big Data is equivalent to “massive amounts of data” or perhaps even “all data.” It means leveraging the data available to the organization – whether generated internally or externally, both structured and unstructured. Unstructured data is often text-heavy data, which in the past was not easily consumable by systems, such as reports, news articles, and social media.

Data analytics is the process and technology used to make sense of large amounts of data. Data analytics enables your organization to engage with Big Data to answer your toughest business questions, solve persistent problems, and uncover patterns and insights. You can also use data analytics to drive innovation and pursue breakthrough ideas.

Let’s look at the different types of data analytics available to you:

Descriptive analytics

Answer the question: What happened? Descriptive analytics helps your organization get in touch with reality, providing visibility and a single source of the truth. Apply descriptive analytics to provide greater levels of visibility across the supply chain, for both internal and external systems and data.

Predictive analytics

Answer the question: What might or will happen? Predictive analytics helps your organization understand the most likely outcome or future scenario – and its business implications. For example, using predictive analytics, you can project and mitigate disruptions and risks.

Prescriptive analytics

Answer the question: What should we do about it? Prescriptive analytics helps your organization solve problems and collaborate for maximum business value. Harness prescriptive analytics to collaborate with logistic partners to reduce time and effort in mitigating disruptions.

Cognitive analytics

Answer complex questions in natural language – in the way a person or team of people might respond to a question. Cognitive analytics can actually help you think through a complex problem or issue. Use cognitive analytics to answer a query like: How might we improve or optimize X?

In assessing a question, problem, or issue to be addressed by data analytics, start with identifying a business pain point. Then look at the veracity, volume, and variety of data consumed and available to your organization. Determine what data is available and what data you may need to attain or access to answer a question or solve a particular problem.

For those starting to explore data analytics, you can start small and build a stronger program. Data analytics can have positive impact at any scale, addressing most any problem. The experience gained, and value derived, fosters a deeper data analytics program.

Data analytics is also a great foundation for application of cognitive technologies. Cognitive technologies, which are fast-emerging and being applied at many Fortune 1000 companies, understand, reason, learn, and interact like a human – but at enormous capacity and speed.

IDC predicts that, by 2020, 50% of all business analytics software will incorporate cognitive computing functionality.[1] The Pew Research Center, which studied the current state of cognitive technologies (also known as artificial intelligence or AI), concluded: “By 2025, artificial intelligence will be built into the algorithmic architecture of countless functions of business and communication, increasing relevance, reducing noise, increasing efficiency and reducing risk across everything from finding information to making transactions.”[2]

Supply chain organizations aspiring to work smarter can set a foundation for the cognitive future by growing with data analytics today.

For more information about cognitive technologies and data analytics, download the “Top Supply Chain Trends for 2017” report – available on the Watson Supply Chain microsite.

 

 

[1] IDC FutureScape: Worldwide Big Data and Analytics 2016 Predictions

[2] Pew Research Center: Predictions for the State of AI and Robotics in 2025

More Procurement Stories

IDC: The Future of Supply Chain

What are the challenges and technologies shaping the future of supply chain? We’re living in what some call the age of disruption, where digital business and globalization are disrupting business models and industries and changing the way we live and conduct business. According to IDC, this will translate into 33 percent of all manufacturing companies […]

Continue reading

Retail Pricing in the Age of Showrooming, Coupon Codes, and Black Friday

Your customers’ relationships with pricing are complicated. Today’s buyers are fraught with anxiety over getting the lowest price, driving trends like the chaos of Black Friday, extreme couponing, hundreds of apps for comparison shopping, showrooming, and avoiding hitting the purchase button until they’ve searched for online coupon codes. At the same time, retailers need to […]

Continue reading

Does your pricing solution speak your language?

When you listen, what languages do you hear? Just think about it. I recently took a trip to Canada. During my trip I heard French, Spanish, Italian, and Japanese. As I did my touring and shopping, I needed to be able to pay in American dollars or in Canadian dollars. Everywhere I shopped, all the […]

Continue reading

Digital Business is Accelerating and Changing the Business Environment: Managed File Transfer (MFT) Must Evolve to Meet the Challenge

This is the third post in our Managed File Transfer blog series. Read the second post “7 ways IBM is leading the Security Push in Managed File Transfer” here. Digital business is changing customer expectations – and business models. It is changing how businesses communicate, transact and interact with customers – as well as with other […]

Continue reading