A new era for data: What is possible as a service?

But the right amount of data, clear and properly channeled, can quench a business’s thirst for insight, boost its growth and lead it to success, says Matt Baker, senior vice president of corporate strategy at Dell Technologies. Like water, data is not good or bad. The question is whether it is useful for hand purposes. “Accurately aligning data, in an inclusive way, is difficult to find in a common format,” Baker said. “It needs to be refined and organized in some way to make it usable, secure and reliable in producing good results.”

According to a recent survey conducted by Forrester Consulting on more than 4,000 decision-makers conducted by Dell Technologies, many companies are overwhelmed by the data. খনEver doubled or even tripled — and 75% said that the demand for data within their organization has also increased.

Research firm IDC estimates that the world will generate 64.2 jetabytes of data by 2020, and that number is growing at a rate of 23% per year. A jetabyte is a trillion gigabytes জন্য to put it bluntly, it’s enough storage for 60 billion video games or 7.5 trillion MP3 songs.

The Forrester survey found that 70% of business leaders are collecting data faster than analyzing and using it effectively. Although executives have a lot of data, they have no way of getting insights or value out of it – Baker, whom the “ancient Mariner” paradox calls, after Samuel Taylor Coleridge’s famous epic line, “water, water everywhere and not a drop to drink.” . “

Data streams turn into data floods

It is easy to see why the amount and complexity of data is increasing so fast. Each app, gadget, and digital transaction creates a data stream, and those streams flow together to create more data streams. Baker offers a potential future scenario for brick-and-mortar retail. A loyalty app on a customer’s phone tracks his or her visits to an electronics store The app uses a camera or a Bluetooth proximity sensor to understand where the app is and tapping information that the retailer already has about the customer’s population and past purchasing behavior to predict what he will buy. When he crosses a certain isle, the app creates a special offer on the ink cartridge for the customer’s printer or an upgrade controller for his game box. It notes which one offers sales results, remembers for the next time, and adds the whole interaction to the retailer’s ever-increasing sales and promotion data, which can then entice other buyers with smart targeting.

Adding complexity is a often unexpected mass of inherited data. Most companies do not have the luxury of creating data systems from scratch. They may have year-round accumulated data that needs to be cleared to be “drinkable,” Baker said. Even something as simple as a customer’s date of birth can be saved in half a dozen different and inappropriate formats. Multiply that “contamination” by hundreds of data fields and it suddenly seems impossible to achieve clear, useful data.

But abandoning old data means abandoning potentially invaluable insights, Baker says. For example, historical information on warehousing stock levels and customer order patterns can be important for a company to try to create a more efficient supply chain. Advanced Extract, Transform, Load Capacity সরঞ্জাম Essential tools designed to tidy up and streamline unplanned data sources.

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This content was produced by Insights, a custom content arm of MIT Technology Review. It was not written by the editorial staff of MIT Technology Review.

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