The Intelligent Enterprise: Where Data Doesn’t Collect Dust

Dina Dayal

The concept of the “intelligent enterprise” is a game-changer for the consumer goods industry. Increasingly, businesses can make smarter decisions in real time than their human counterparts. And this capability only grows stronger as the data we capture and use becomes more relevant.

Most executives love to think that their companies run on clean data and “anytime, anywhere” access to analytics. But I often wonder whether their perception actually reflects their reality.

A new era of intelligence calls for a different perspective on data assets

Are you collecting and using social media data, weather data, geospatial data, and machine data? Better yet, are you leveraging the data sitting in your enterprise to help you make critical business decisions?

If your answer is “probably not” or “no,” you’re not alone. But that doesn’t mean you can stand still and stay complacent. On the contrary, you should refocus data management and analytics to provide the workforce with:

  • Stored data that’s also accessible
  • Data definitions and labels that are uniform across the business
  • The ability to manipulate and exchange data among multiple applications
  • Innovative scenarios that optimize the value of your data assets

By addressing these critical needs, analytics paint a detailed picture that allows decision makers to understand what’s happening in real time. They’ll also be able to look at the emerging horizon without the influence of unconscious and conscious bias.

Let’s consider common business scenarios in which getting a better handle on data can be incredibly advantageous.

1. Responding to social media sentiment

Consider a food and beverage company that’s receiving negative feedback about a product. If the business is not collecting or sensing its social media feeds, it will never know the underlying problem. Worse, it won’t be able to fix the issue before the news is reported by The Wall Street Journal.

By leveraging all social media sentiment, consumer products companies can take immediate, targeted, and deliberate action to create a positive experience for all consumers.

2. Protecting the supply chain

For two years in a row, the southern and eastern coastlines of the U.S. have been hit by a series of powerful hurricanes. For food and beverage companies, such natural events can keep executives up all night watching The Weather Channel.

How can the company ship products to locations in advance of a storm? Will distributors, retailers, and customers be well stocked? Will retail outlets experience out-of-stocks within hours? If so, is there a distribution center nearby that can replenish them in near-real time?

Instead of letting these questions swirl around in the back of executives’ minds, analytics that combine weather and geospatial data can be highly insightful. This information enables decision makers to experiment with scenarios to determine how to adjust inbound and outbound flows of goods to the right place at the right time — and act accordingly long before a hurricane makes landfall.

3. Realizing the full potential of machine data

For years, manufacturing plants have been collecting operational technology data. They know when the machine is active or inactive, whether the temperature and vibration level is too high or low, and whether it is scheduled for maintenance.

But what if the business took that data and converged it with its ERP data? The picture of plant-floor operational needs can be vastly different than initially believed. For example, machine assets can be placed offline for maintenance when an imminent malfunction is predicted, as opposed to scheduling a date when there is no danger of a breakdown on the horizon.

With this approach, companies can save millions in asset maintenance costs. Now the operations manager can predict when an asset will fail, order the right part, and schedule the maintenance technician. Most importantly, production uptime and productivity are significantly improved.

The stakes are too high to keep data “dusty”

As long as data is not hoarded in a one-dimensional, siloed manner, consumer products companies stand to gain capabilities that will help them become more competitive. I urge you to look within your organization to dust off the data that’s being collected and start using it to make better business decisions and uncover new insights you never could have imagined before.

This article originally appeared on Consumer Goods Technology.

Dina Dayal

About Dina Dayal

Dina Dayal is Vice President of the Consumer Products Industry Advisory Group at SAP. With over 20 years of industry, customer, and SAP technology experience, she has demonstrated proven expertise as a consultant for KPMG and Global Vice President of IT for Newell Rubbermaid. Dina is experienced in implementing and building strategic visions, road maps, and digital transformations to help companies from a broad range of industries improve their operations. Dina currently serves the SAP Consumer Products Advisory Group, where she focuses on thought leadership, innovation, and the Intelligent Enterprise to help our customers realize value from their technology investments and reimagine their assets to bring value and relevance.