In the internet’s infancy, before search engines and browsers, you had to know exactly where to look to find the information you wanted.

With the emergence of search engines, the entire wealth of information became available at our fingertips just by inserting a keyword. Google’s most significant achievement involved making sense of big data served up from over a billion websites globally according to user preferences, location and history. Google simply and elegantly integrated the world wide web to deliver information with speed and relevance for the user.

Manufacturers are no strangers to the ramifications of the new data economy and how it has changed consumer expectations. Now, more than ever, consumers expect an exceptional experience, whether shopping online or in-store. Online research has become commonplace, making it critical for product information to be displayed accurately across both the physical and digital shelves alike. This has resulted in retailers pressuring manufacturers to meet specific data requirements to get products to market faster. And unfortunately, each retailer, data pool and marketplace has different conditions.

For CDOs, a centralized data strategy is to enable an enterprise to fully exploit data and analytics. To get to that point some essential capabilities are required.

• First, the enterprise must be able to identify, combine and manage multiple sources of data.
• Second, it must build the right analysis models for predicting and optimizing outcomes.
• Third, management must possess the will to transform the organization to understand how to leverage and convert the data and analytics models into decisions that improve business outcome.

In addition, certain prerequisites help clearly define the strategy for how to use data and analytics. The following offers 5 tips on how to do that.

Across industries and trades, master data management (MDM) solutions result in positive business outcomes through improving efficiency and enabling new business. In addition to that, master data management is necessary to ignite digital acceleration and facilitate data governance.

Master data is the backbone of any company’s data infrastructure. But the nature of their master data can differ a lot depending on the type of industry, enterprise size and business area.

Day two has come and gone at our Connect conference in Copenhagen, and while innovation - the overarching theme for yesterday - continued to be a key topic, day two was all about sharing digital transformation success stories.

Our annual Connect conference kicked off today in the heart of Copenhagen, at the Tivoli Hotel & Congress Center. A conference where customers and partners meet to imagine, inspire and ignite their shared passion for all things data.

There are many benefits to reap from master data management (MDM). Providing higher efficiency or enabling new business – a positive ROI is almost unavoidable regardless which industry you serve or organization you operate.

Taking retail as an example, mastering your various data domains addresses some of the most business-critical issues such as growing the product catalog, increasing customer loyalty, reducing product returns and accelerating sales.

In my previous blog post I explained master data management (MDM) and its importance in the context of the consumer and the customer experience. In this post, I look ahead and shed some light on what we can expect from a technology and customer experience perspective in the near future, as the growing expectations from consumers are currently driving businesses in new directions - and with that, they are also driving MDM.

People who want to lose weight study nutrition facts. They want to know the total amount of calories, percentage of calories from fat, protein, carbohydrates, cholesterol, allergens and many other facts. The higher the awareness, the more scrutiny of information the consumer will exercise.