IT: Easy data visualization and analysis, all day, every day

2 min read
Curated from ibm.com →

Expectations are set for you and your department. You have to go far beyond a traditional support role and directly contribute to the strategic objectives of the business. But sometimes you’re so bogged down by help requests, server maintenance and  endless logs and tech support issues that you can’t get ahead. You need a way to turn all the information you have about your department into efficient, effective IT operations.

So, how can you make IT the strategic resource it needs to be? Using data visualizations automatically created for you to gain insight from your current business model is part of the answer. Having easy access to the data analysis that help you make decisions and anticipate the needs of your organization is also critical.

Here are 5 ways Watson Analytics can help you effectively address issues so you can focus on value-added projects.

With Watson Analytics, you’re in control of your data. Built-in capabilities for preparing data save you time and money. It also puts you in control of your data. You can:

You can also take advantage of an add-on that enables you to prepare semi-structured data from databases before you load it into Watson Analytics.

A form of natural language processing, called natural language dialogue, enables Watson Analytics to not only understand what you want to know, but respond back to you in terms you understand. Other cognitive computing technologies guide you through your data discovery. With starting points and a list of questions provided immediately after you upload data, you can find the answers you need fast. And, automatic recommendations enable easy data visualization and analysis because you see patterns and trends quickly. Watson Analytics can even suggest questions you may not have thought to ask!

You have 100,000 closed tickets. An answer to a recent satisfaction ratings dip has to be in there somewhere.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.