BI Experts Panel
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BI self-service needs new thinking to truly serve business users
To be truly useful to a broad set of business users, self-service BI tools need to become easier to use. An increased focus on metadata and artificial intelligence can help with that. Continue Reading
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Compelling data story starts with effective visualization of data
Data visualizations can transform analytics data into actionable business information. But remember to keep things easy to understand and remember your audience, an expert cautions. Continue Reading
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Telling data stories calls for common syntax on analytics info
Data storytelling is just the latest phase in the long history of passing on knowledge to people, expert David A. Teich explains. It's just the tools that have changed. Continue Reading
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SQL vs. NoSQL database design debate isn't even a real fight
Consultant David A. Teich says the SQL programming language remains the best means for accessing and querying data, whether it's in relational databases, NoSQL systems or Hadoop clusters. Continue Reading
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Hike use of business intelligence via the Eisenhower Matrix
IT managers must work closely with the business to increase the number of people using BI tools in companies -- and a time management framework bearing the name of Dwight Eisenhower can help. Continue Reading
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To succeed, IoT projects need tighter ties between vendors
Nobody's addressing the Internet of Things as a whole, writes expert David A. Teich, who offers a look at how IoT projects can benefit the entire organization. Continue Reading
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New business intelligence skills in, BI developers out
Consultant Lee Feinberg says organizations need to build up their data storytelling and visualization capabilities -- and details a competition for finding people with the right business intelligence skills. Continue Reading
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Business intelligence in the cloud gives boost to BI process
Migrating BI to the cloud can help organizations simplify and streamline data analysis. But self-service BI doesn't equal DIY BI, warns expert David A. Teich. Continue Reading
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Cloud BI tools, hosted systems lower data analysis barriers
Cloud business intelligence platforms offer companies a faster, easier way to analyze data, thanks to reduced capital costs and streamlined system design. Continue Reading
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Self-service business intelligence tools don't sideline IT
Self-service BI tools aren't self-sufficient -- data governance concerns and the complexity of data visualization mean IT teams must remain in the mix. Continue Reading
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Integrated analytics gives users operational intelligence edge
Embedding analytics capabilities in operational processes can pay big business dividends by enabling front-line workers to optimize how things are done, consultant David Loshin says. Continue Reading
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Common data vocabulary helps companies globalize governance, BI
Strong data governance is needed to maximize the value of business intelligence efforts -- and that starts with a common set of data definitions, consultant Wayne Eckerson says. Continue Reading
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Focus on wide data, not just big data, in analytics systems
To get maximum business value from big data analytics efforts, users should look to incorporate a mix of structured and unstructured information -- think of it as wide, not merely big, data. Continue Reading
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BI director needs strong blend of business, IT leadership skills
To lead successful business intelligence programs, BI managers must have strong communication skills and be grounded in both the business and IT worlds, consultant Wayne Eckerson says. Continue Reading
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To the rescue on business intelligence projects: The BI SWAT team
A fast-moving SWAT team of business intelligence specialists can resuscitate failing BI programs and help successful ones keep up with demand for new applications, consultant Wayne Eckerson says. Continue Reading
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Self-service software missing from operational BI picture
Consultant Rick van der Lans says most self-service business intelligence tools fall short at the operational level, leaving some key business users locked out of the self-service BI process. Continue Reading
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Temporal data reality: In BI, time is of the essence
To fully understand their analytics data, organizations need to incorporate temporal data capabilities into data warehouses and business intelligence systems, consultant Barry Devlin says. Continue Reading
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Eliminate inconsistent data by ousting its evil twin sisters
Data quality problems, often resulting from inconsistent data definitions and duplicates, can hamstring BI and analytics efforts if they aren't forcefully addressed. Continue Reading