The business intelligence landscape is fracturing as it evolves.
In a market once characterized by applications that covered all the bases, cloud computing and the availability of Software-as-a-Service means many vendors are starting to specialize in analytics, data discovery and visualization.
Out of this splintered market, the value of business intelligence applications is forcing vendors to focus on line-of-business support and ease of use concerns.
BI Value Matrix 2014
The findings are contained in Nucleus’s Technology Value Matrix 2014 for Business Intelligence. It is a crowded matrix with the majority of vendors in either the leaders’ or facilitators’ quadrants.
Leaders are the vendors that provide value for money combined with high levels of functionality. Facilitators are vendors whose products are easy to use, deploy and manage.
The other quadrants include the expert quadrant, which is dominated by products that are optimized for big data applications that require expert developers. The final, core quadrant consists of providers that are affordable and easy to buy and deploy.
6 BI Trends
The Matrix, generally speaking, focuses on platforms and applications that provide value and functionality in the key business intelligence areas of:
- Enterprise-class scale and data availability
- Transformation of raw data into analytic-ready queries
- Data discovery and analysis tools,
- Presentation of analytic outcomes
- Embedding BI functionality into applications.
As the market splits and fractures around these key functionalities, Nucleus has identified six key trends that characterize the BI space:
1. Data discovery
If enterprises are only beginning to understand it, discovery is starting to emerge as a key element in providing value for BI applications. This is particularly true of vendors like Qlik and Tableau, which have raised business users’ expectations on how they can interact with data.
This has emerged as a “must have” rather than “desirable” functionality BI. According to Nucleus, the presence, or no, of collaboration is now being used by organizations to assess the viability of a given business intelligence investment.
3. Unified business views
As more and more data sets are being used in organizations, the ability to provide a common view and definition of business data has become a core requirement. This is particularly true as more and more organizations incorporate more and more external data sources.
4. Cloud computing
There are numerous advantages of moving business intelligence to the cloud, including a reduction in on-premises server costs. The cloud also offers easily scalable processing resources as well as the ability to store huge amounts of data cheaply.
5. Mobile BI
Mobile BI has also become a "must have" versus a "nice to have" option for organizations. Many vendors are now offering mobile versions of their desktop applications that mirror each other exactly. In parallel to this is a rise in user expectations around the capabilities of mobile BI.
6. Big data, bigger money
BI and performance management solutions have been making big bucks over the past six months as investors start to smell some real dollar potential with the combination of BI and big data.
Value Matrix Leaders
BI Leaders are defined by their ability to combine key BI functionalities that provide value with high levels of usability. In this value matrix, the leaders include Birst, GoodData, IBM, Information Builders, MicroStrategy Microsoft, SAP and SAS.
A Leader in the value matrices for the last two years, Birst has been identified by Nucleus as a leading cloud BI vendor by linking cloud BI with visualization capabilities and data warehousing.
Birst is one of the real market disruptors, with Nucleus pointing to the fact that Birst’s integration of Amazon Redshift into an integrated analytics solution provides organizations with a unique route towards rapid return-on-investment (ROI) in business intelligence deployments.
This is combined with high levels of customer service and data management capabilities that provide a real differentiator for Birst. The effect is that, overall, Birst provides lower costs on investments in BI. Going forward, Nucleus says Birst will support more cloud and on-premises application through new connectors.
Nucleus says that GoodData has made the leaders’ quadrant on the basis of its usability, data governance, licensing and cloud model. Users were able to access data in a self-service way, which has made GoodData’s products one of the more popular product applications on the market.
Organizations also like its Platform-as-a-Service (PaaS) as it enables them focus on business, and not the IT systems that are supporting the work. As an extensible platform, its PaaS offering is targeted at midsized companies and large enterprises.
GoodData also provides APIs for defining and executing custom predictions, as well as offering a bulk export capability for sharing data with data discovery tools from other vendors. It is currently focusing on social analytics for sentiment analysis.
According to Nucleus, IBM’s core BI performance management, predictive analytics and big data management have all demonstrated considerable business value with multiple documented projects providing payback in less than 12 months and kept it in the leaders’ quadrant.