News

Flaws in the Data

Apr 03, 2017

By Katherine Heires, Risk Management

Given the avalanche of information that has become available to ­businesses over the past several years, data-driven decision-making (DDDM), the practice of basing business decisions on data analysis rather than intuition, has become a critical tool to help organizations reduce risk, avoid costly mistakes and take advantage of opportunities.

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By Mark Feffer, Dice Insights

The challenges surrounding cybersecurity keep getting more complex, forcing security experts to constantly boost their knowledge in order to defend their systems. The number of potential security holes has also multiplied: whereas in previous years a security team would only have to secure an on-premises datacenter with a few entry points, vulnerable technology today includes everything from smartphones and wearables to cars.

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By Lisa Morgan, All Analytics

Different companies and industries are at different levels of analytical maturity. There are still businesses that don’t use analytics at all and businesses that are masters by today’s standards. Most organizations are somewhere in between. So, who are the leaders and laggards anyway? The International Institute for Analytics (IIA) asked that question in 2016 and found that digital natives are the most mature and the insurance industry is the least mature.

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By Lisa Morgan, Inc.

More companies are using analytics to compete more effectively, but not all are succeeding. We explain what separates the leaders from the laggards and the winners from the losers.

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By Gil Press, Forbes

The increasing interest and investment in AI, in turn, will lead to the emergence of new tools for collecting and analyzing data and new enterprise roles and responsibilities. Here are a few predictions—based on analysis by the International Institute for Analytics (IIA), IDC, and NewVantage Partners—regarding the market for big data analytics.

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By Nicole Laskowski, SearchCIO

Experts at the International Institute for Analytics gathered to talk about their analytics priorities for 2017. This is the second year the IIA has crafted a list of five analytics priorities in an effort to provide its constituents with a strategy for the year ahead. Last year, the analytics priorities focused on aligning the analytics strategy to the business strategy. This year, the advice focuses on defining roles more clearly and striking the right balance between experimentation and deployment.

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By Nicole Laskowski, SearchCIO

The International Institute for Analytics released its list of analytics predictions for 2017, and researchers are placing their bets on artificial intelligence and cognitive technologies as the big headlines for the new year.

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By Gil Press, Forbes

Analytics is both the lifeblood and livelihood of digital native companies such as Google and Facebook which thrive by analyzing the data generated by their Web position to drive their access to and engagement with millions of people. In response, companies in established industries have beefed up considerably their data collection and analysis activities. But how good are they in mining the data for new and profitable insights?

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By Sohini Bagchi, Livemint

As self-service BI proliferates, the new year will also bring a huge increase in advanced analytics projects across industries. However, unlike before, when big data discussions made it sound as if chief information officers (CIOs) and analytics practitioners had to think of advance analytics as something wholly separate from traditional analytics, the perspective is changing, according to a December report by International Institute for Analytics (IIA), an independent research and advisory firm.

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By Nicole Laskowski, SearchCIO

Looking to sharpen your analytics programs in the new year? Follow this cheat sheet on how to win with analytics in 2016.

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