Neural Networks and Modern BI Platforms Will Evolve Data and Analytics

Neural Networks and Modern BI Platforms Will Evolve Data and Analytics

Machine conquered man when Google’s AlphaGO defeated the top professional Go player, but the evolution of deep learning didn’t end with the game. Baidu improved speech recognition from 89% to 99% and deep-learning jobs grew from practically zero jobs in 2014 to around 41,000 jobs today. Deep learning is currently at the Peak of Inflated Expectations of the Gartner Hype …

Everything Publishers Need to Know About Business Intelligence

Everything Publishers Need to Know About Business Intelligence

The concept behind this article was to share the experiences that I and others have had managing and implementing business intelligence (BI) and reporting solutions. To help out, I asked some former colleagues to contribute their thoughts. I have been involved on the project management end of several large-scale BI projects, and more recently have sold analytics and reporting as …

Are You Ready for These Big Data Trends?

Are You Ready for These Big Data Trends?

2017 will see some major changes in the big data ecosystem, driven in part by two trends. Both trends offer opportunities for data-driven organizations to stay ahead of the curve — but only if they take the time to do some preparation now.  Apache Hadoop distribution vendors have crossed the adoption chasm — making unstructured data in Hadoop a reality. In …

How to Create a Business Case for Data Quality Improvement

How to Create a Business Case for Data Quality Improvement

Early and ongoing engagement will help gain the confidence of business leaders in data quality. Poor data quality destroys business value. Recent Gartner research indicates that the average financial impact of poor data quality on organizations is $9.7 million per year. This is likely to worsen as information environments become increasingly complex. Data quality issues are faced by organizations of …

Big Data Platforms in 2017: Leveraging Hybrid Clouds for Intelligent Operations

Big Data Platforms in 2017: Leveraging Hybrid Clouds for Intelligent Operations

According to a recent Gartner survey, big data investments reached a possible peak in 2016. But these investments show signs of contracting, with 48 percent of companies having invested in big data in 2016 – only three percent more than 2015. This trend signals that organizations have delivered significant big data insights and will now look to operationalize in the …

2016 in APIs: Microservices

2016 in APIs: Microservices, Standards, Acquisitions & Security

2016 has been an eventful year on many fronts and not least for APIs. We’ve see the emergence of Microservices as a big new driver for API adoption, numerous high profile security breaches (being DDOSed by your own webcam hurts!), vendor acquisitions, the growth of the Open API Initiative and some more industry events. Some of these trends we already …

Most Promising New Data Technologies to Gain Traction in 2017

Most Promising New Data Technologies to Gain Traction in 2017

With 2016 in the rear view mirror, we look back at a mixed year for data analytics in terms of adoption and optimization. This past year, companies opened up to advanced analytics techniques yet still struggle to act on them. 2016 saw a large shift towards productized analytics solutions over service-based delivery models, as both providers and companies sought to …

3 Ways IT Can Benefit from Self-Service Analytics

3 Ways IT Can Benefit from Self-Service Analytics

There are many natural enemies in the world. The Yankees and the Red Sox. Cats and dogs. IT managers and self-service analytics—right? According to Gartner, self-service analytics is a “form of business intelligence in which line-of-business professionals are enabled and encouraged to perform queries and generate reports on their own, with nominal IT support” (emphasis mine). For folks working in …

What Is Big Data Discovery?

What Is Big Data Discovery?

According to Gartner, “Big Data Discovery” is the next big trend in analytics. It’s the logical combination of three of the hottest trends of the last few years in analytics: Big Data, Data Discovery, and Data Science. Each of these areas has seen explosive growth, but there are clear upsides and downsides to each. For example, Data Discovery excels in …