We pulled three BI industry pundits away from their cork-popping and horn-blowing just after midnight on January 1st to get their takes on the top BI resolutions and trends for this new year.
Here’s what they had to say through all that noise and hoopla:
Our Panel of Experts
- Julie B. Hunt (@juliebhunt) – Julie B. Hunt is a 25+-year software industry solution strategist and analyst with experience ranging from the very technical side to customer-centric work in solutions consulting, sales and marketing. Julie shares her takes on the software industry via her blog Highly Competitive.
- Gregory Piatetsky-Shapiro, PhD (@kdnuggets) – Piatetsky-Shapiro is the founder of KDD (data mining and knowledge discovery conferences) and is one of the leading experts in the field. He is also editor of KDNuggets.com.
- Marcus Borba (@marcusborba) – Borba is a 27-year BI and performance management consulting veteran from Brazil and shares his insights on the Business Intelligence News blog.
Top BI Resolutions for Companies
Hunt: Stop data hoarding in your company and turn your entire business into an intelligence-rich organization. Make sure everyone understands the value of data, has access to analytics tools and results, is open to sharing data across departments and teams (as appropriate) to make sure everyone has the data assets that they need for decision-making, planning, innovation and so on. Read more on this here.
Piatetsky-Shapiro: More coverage of big data – Hadoop, companies, tools, and the big data ecosystem. I also plan to have more personal experience with cloud analytics.
Borba: Take advantage of the emerging BI trends to make organizations actually become a democracy of information, with business intelligence being used for everyone, anywhere, anytime.
Top 3 Trends for Industry
Hunt:
- BI and analytics on mobile devices – the momentum continues to build; everyone wants business anything and everything on mobile devices. The two big questions continue to be: what kind of analytics should be on mobile devices, and is there sufficient security when delivering certain sorts of analytics results?
- More BI and analytics software offerings tailored for the specific needs of e-commerce and marketing activities, in a more “real-time” mode. Most current offerings seem to be failing the needs of professionals in these areas, which means new opportunities for agile vendors.
- Increasing interest in data virtualization as an alternative or a complementary play to traditional data integration/enterprise data warehousing as the “back end” for more enterprise business intelligence and analytics processes, as well as improved decision-management systems. There has been a great deal of buzz about data virtualization over the past couple of years and top vendors for [data virtualization] have solid customer cases to prove the value.
Pietatsky-Shapiro:
- Mobile – not so much mobile consumption as using location data for new services.
- Social is still a big trend.
- Data and analytics in the cloud.
I also see that big data is approaching the hype peak, and expect to see the bursting of the big data bubble in the next two years. See my recent presentation at the SuperData Conference that looks at the history and current state of analytics and data mining and examines the effects of big data here.
Borba:
- Mobile BI – The proliferation of smartphones and tablets in the enterprise, and the need to make decisions anywhere/anytime accessing real-time analytics make mobile BI remain a hot topic. There are several companies that specialize in developing mobile BI applications and most BI vendors also have developed a mobile version. Howard Dresner, who recently published the latest version of the Mobile Business Intelligence Market Study, considers that mobile BI becomes fundamentally the new platform for business intelligence.
- Cloud BI – The cloud-based BI will boost the use of BI. The cloud model allows the companies to save money, with faster implementation without substantial investments. It is also ease of use. Although there are many concerns about implementing BI on the cloud (mainly security), the vendors and the market as a whole have matured. It is important to remember that it’s necessary to have a well-defined data integration strategy to implement a successful cloud-based BI.
- Big Data – The amount of data in our world has been growing exponentially, and the uses of big data in the BI scenario will allow companies to put data to work more efficiently. They could really turn into data-driven enterprises.
Amanda Brandon
Spotfire Blogging Team
