Projections for BI in 2012 from the neutrinoBI team
12
BI Market Trends for 2012 Our top ten predic8ons for the year ahead
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At this time of year (January 2012) a number of industry commentators pop their heads above the parapet to suggest what we’re likely to see happening in the market over the coming year. Not to be left out, I asked the neutrinobi team what they thought the market would look like over the next 18 months, and after some great debate, this is what we came up with:Increased interest in collaborative/social BIDemand for BI without boundariesEnterprises embrace a wider portfolio of BI toolsData Discovery comes of age The real BI search is ‘Freeform’Data integration - overcoming the silosInteractive data visualisation becomes a fundamental requirementDemand for real-time results means in-memory technology becomes mainstreamTo big data...and beyond!Cloud-based BI? The conversation continuesThis paper explains each of these projections in a bit more detail, and throughout January, with help from Jon Woodward (CEO), Patrick Foody (CTO), and Andy Bailey (Pre-Sales Consultant), we’ll be looking at some of these concepts in a bit more detail in our blog: http://www.nbi-blog.com.
Transcript of Projections for BI in 2012 from the neutrinoBI team
BI Market Trends for 2012
Our top ten predic8ons for the year ahead
January 11, 2012 | Slide 1
Business users have established new ways of sharing and collabora8ng using LinkedIn, Facebook, Wikipedia, Web 2.0 and other social plaHorms.
Collabora8ve BI tools that take advantage of this behaviour and make it possible for business teams to search, rate, comment on, and request enhancements to content will become more and more desirable in suppor8ng cross-‐func8onal, dispersed and flash-‐teams. These tools can enhance efficiency and increase the speed of decision-‐making.
2012 will see the first return on value for early adopters of BI tools that support knowledge worker collabora=on.
1. Increased Interest In Collabora8ve/Social BI
January 11, 2012 | Slide 2
Knowledge workers have driven more than 70% of the economic growth of the US over the last three decades. Over 85% of new jobs created in the last decade required complex informa8on analysis skills (McKinsey Global).
Today’s knowledge workers operate at all levels in highly distributed, fast-‐paced, highly compe88ve environments but using systems conceived to answer yesterday’s ques8ons.
There’s increased demand for accessible, agile BI for use within the office, and when mobile (on iPads, smartphones and smart devices). With 40% of today’s BI budget now controlled by business unit this is becoming a reality.
Lines of business within the organisa=on will con=nue to drive the wider adop=on of BI.
2. Demand for BI Without Boundaries
January 11, 2012 | Slide 3
Less than 30% of poten8al users have adopted BI today because they’re too complex, slow and inaccurate (Gartner).
Organisa8ons are benefiang from a new range of technologies driven from the consumer-‐space. According to James Richardson of Gartner these include: interac8ve visualisa8on, integrated search, and in-‐memory processing.
Individual lines of business are by-‐passing IT to adopt these “BI tools with the func8onality to get things done” according to Boris Evelson of Forrester.
Organisa=ons are increasingly taking a porAolio approach to BI tools to support pervasive BI.
3. Enterprises Embrace a Broader PorHolio of BI tools
January 11, 2012 | Slide 4
Data visualisa8on is key to helping users to generate graphically interes8ng reports, provide effec8ve communica8ons and enable them to spot trends and issues.
Interac8ve data visualisa8on goes a step further. It allows users to ask-‐ques8ons of what they see, dig deeper, change what they’re viewing and the format they’re viewing it in, layer charts on top of each other and see a pipeline of data in real-‐8me.
Increased awareness and business acceptance of visual query tools in 2012 will make data explora=on and discovery a much bigger part of any organisa=on’s BI prac=ces.
4. Interac8ve Visualisa8on Is Fundamental
January 11, 2012 | Slide 5
There are significantly more visual query tools now available on the market to sa8sfy demand for self-‐service BI. But many of these s8ll ‘constrain’ the user to ask ques8ons predefined by the interface in terms of their ability to drill-‐down in a faceted search.
True Data discovery tools allow business users to ‘ask any ques8on’, and explore across mul8ple data sources without having to pre-‐determine the ‘right ques8on’.
In 2012, data query and analysis will begin to make the move from predictable search and analysis to a more rapid and organic data discovery model.
5. Data Discovery Comes of Age
January 11, 2012 | Slide 6
Today’s knowledge workers have grown accustomed to using internet search engines to find the informa8on they need.
Yet when it comes to organisa8onal business intelligence they’re either forced to work through IT to get a report run off, or they are constrained by a faceted drill-‐down search that has been pre-‐defined and pre-‐programmed for them.
In 2012, the industry will become aware of a new approach to search – one that is truly similar to an internet search on structured data. We call it ‘freeform’.
6. Real Discoveries Come from ‘Freeform Search’
January 11, 2012 | Slide 7
Big data has frequently resulted in ‘data sprawl’ across different repositories, systems, plaHorms and geographies. Combining this data without aggrega8ng it in some monolithic system can be challenging and frustra8ng.
Data discovery can provide integrated data search across a myriad of sources, wherever they reside. It can also be used to support master-‐data-‐management (MDM) projects by loca8ng and capturing metadata across data sources and uncovering rela8onships between data elements.
In the next few years data discovery tools will gain further popularity as a means of data integra=on.
7. Overcoming Data Silos
January 11, 2012 | Slide 8
Demand for faster, real-‐8me results has meant that in-‐memory analy8cs are now used across databases and other analy8c tools, including neutrinoBI. In-‐memory search is no longer a differen8ator between products.
Instead, other performance-‐related factors including implementa8on speed, 8me between search and generate, and system related power/performance will become more important in terms of differen8a8on between BI tools.
In-‐memory analy=cs will become mainstream. Other performance-‐related features will differen=ate BI tools.
8. Real-‐8me Means In-‐Memory Becomes Mainstream
January 11, 2012 | Slide 9
“Big Data” – it’s not just the old data stores, but the new streams that are growing all the 8me, at a rate of 15PBs per day according to IDC.
Big data means that there’s more data to store, integrate, search and analyze.
However, big data shouldn’t necessitate Big BI – large monolithic machines and Petascale databases. Enterprises are becoming increasingly savvy in their approach to handling Big Data for BI.
We believe that big data will con=nue to drive new approaches to BI in 2012.
9. To Big Data and Beyond!
January 11, 2012 | Slide 10
The debate about cloud-‐based BI con8nues. On the one hand it would appear an ideal way of scaling to keep pace with big data. On the other, releasing data assets and conduc8ng analysis on petabytes of data outside the security of organisa8onal boundaries would appear to be an ongoing constraint.
Despite increasing hype and moun=ng interest, cloud-‐based BI search and analy=cs s=ll has a long road ahead.
10. Cloud-‐based BI? The Conversa8on Con8nues
January 11, 2012 | Slide 11
It’s the BI freedom you’ve been wai8ng for
Accelerate your discoveries
