Category: Data

The CIO in 2020: Will You be a Power Player or Obsolete?

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I’ve been in the enterprise tech industry for a long time — long enough to see the CIO pendulum swing from “superstar” to “endangered species.” Looking forward to 2020, how will you evolve? As a CIO, will you be a power player or obsolete?

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Room to Grow: Data-Driven Businesses Must Scale Effectively

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Let’s create business value. That seems easy enough, right? First, the good news is that there is more information delivering business value to organizations than ever before. However, information is only truly valuable when every person within an organization can access one trusted source of data to guide their decisions from anywhere at any time.

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Reimagining the User Experience for Business Intelligence

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Software applications have historically been built with a very specific purpose in mind. Word processors are designed for writing and editing documents, while spreadsheets are for working with numbers. Today’s more modern tools allow you to copy a portion of a spreadsheet and paste it into your written document, or even perform some basic calculations. However, the extent of crossover functionality is limited, and a clear delineation still exists between word processing and spreadsheets.

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Making Decisions With Data – How Do You Define “Better”?

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In my last piece, I covered off how to start laying the groundwork for new analytics projects within the business when you are moving beyond the traditional use of Business Intelligence (BI) for centralized reporting and dashboards. The goal for these projects is always to make the company perform better.

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Understanding the ROI of your data-driven marketing

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Years ago marketing was a much simpler proposition; create advertising campaigns and build brand awareness and as long as this created some leads for sales, your job was done. Instead of being measured on the ‘value’ of marketing activities, marketers were measured on the ‘spend’ of their marketing activities. Times have changed. Marketers are now held accountable for their contribution to revenue. With this accountability, and vast availability of customer engagement data, marketers can no longer be in a vague position around attribution to revenue; they have the ability to measure attribution more accurately, and therefore they are on the hot seat too.

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Blurred Lines: Reimagining the User Experience for Business Intelligence

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Software applications have historically been built with a very specific purpose in mind. Word processors are designed for writing and editing documents, while spreadsheets are for working with numbers. Today’s more modern tools allow you to copy a portion of a spreadsheet and paste it into your written document, or even perform some basic calculations. However, the extent of crossover functionality is limited, and a clear delineation still exists between word processing and spreadsheets.

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Three Keys to Embed Analytics and Create a Money-making Product

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Customers looking to embed Birst into their own product offering often ask, “How can I make money with my data?” It’s a reasonable question for organizations who have invested time and money in a business intelligence platform and now want to know how to leverage their new capabilities to increase revenue. However, the monetization of analytics doesn’t just happen—it takes a strategic approach to create an analytical product that clients are willing to pay for.

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Selling with data – how to make the most of your opportunities

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Sales professionals have seen their roles change massively over the past few years. From being the principal point of contact, to now as one of many sources of information, sales representatives are at a critical juncture of their careers. They need to stand out from the crowd, establish credibility and have a different set of tactics to win. Research by CEB shows that 57% of a purchase decision takes place before any contact with sales, while Sirius Decisions believes this number is even higher, at 67%. As customers are more informed about the wider industry trends and their options, what can sales professionals do to improve their chances of success?

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Birst and Tableau: A Partnership to End Analytical Silos

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Visual discovery tools have transformed the way we think about analytics. They empower people – particularly those without data warehousing experience – to explore data on their own while reducing their dependence on BI experts. Companies like Tableau have defined the benchmark for visual analytics, encouraging vendors to introduce or augment their own data discovery capabilities. This innovation ultimately benefits end users, who today have access to more agile ways to work with data.

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