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Denodo*:
What: Data federalization/virtualization, hubs for data types
Why: The "new" integration crosses Web and cloud as well as captive IT; sweet spots for this vendor include call center single views of customers and customer profiling with external data

Deposco:
What: Warehouse/supply chain/data/process management and BI
Why: With the rise of next-gen logistic providers, warehouse and supply-chain management systems are seeing their own embedded business intelligence makeover; it's also where mobility takes a leap in big productivity gains in smartly designed visibility solutions for distributors, retailers and manufacturers

Dundas:
What: Data visualization, dashboards
Why: Among the visualization companies, this one boasts sophisticated dashboards, genuinely easy development and flexible integration/customization; specialized cross vertical in financial services, manufacturing, pharma, health care, high tech and government; reputation for strong service organization

Endeca:
What: Analytic products for BI, enterprise and Web search
Why: Snappy exploration and analysis to get the user to the right information and level of detail; use cases across BI, e-commerce, customer support and analysis, human capital management, contracts, warranty, etc.

Enkata:
What: Call center performance management and analytics (SaaS Performance Management for customer operations)
Why: Everybody likes agent productivity, claims quality, service to sales, first contact resolution and high-value customer interactions; on-demand service suite with analytic-based dashboards for improved efficiency and customer experience

Esker:
What: Document process automation
Why: A paperless society may be well in our future, but reducing costs, improving business processes and automating document management has arrived in cloud computing models; think A/R, A/P, sales order, document and mail services; half of customers are SAP users with preintegrated ERP modules

Global IDs*:
What: Data governance/data management software
Why: Multidimensional data integration/profiling vendor using Java and XML pushes focus on data governance and master data management; soup to nuts product suites for data transparency, quality, integration and optimization

GoodData*:
What: Cloud-based platform for on-demand analytics
Why: Companies and SaaS providers use a browser interface for reports and dashboards based on their own or other data; automated models with no hardware, software or developers to worry about; sales, marketing, support analytics and ties to Salesforce and Zendesk

in2clouds:
What: On-demand predictive analytics
Why: Hosted sales forecasting and risk management provider has added predictive text analytics and notifications in Salesforce Chatter; discovering data patterns in structured and unstructured data is more practical and moving to smaller companies in affordable products that can impact business performance

InetSoft:
What: Integration-oriented enterprise reporting and BI software/enterprise data mashups/dashboard and visualization
Why: Yet another dashboard reporting tool brought to our attention for BI and productivity through visualization. Patent pending technology for reuse of queries that bridges the gap between ETL and mashups with self-service BI

Ingres:
What: Open source database/engine
Why: Fast interactive reporting, BI and conversational analytics leveraging vector-based processing and on-chip memory. That's a mouthful, but Ingres has working deals with Jaspersoft, Pentaho and others in OSS; just set some new benchmark performance standards and ranks high on the relevance meter of our advisors

Jitterbit:
What: Open source integration
Why: In moving data to the cloud, connecting applications, integrating business processes, we like fast and simple configuration and management of on-premise and cloud integration projects; we're not yet sure how far hybrid and commercial open source will go, but it still looks green field to us

Kalido:
What: Data warehousing, data governance and MDM
Why: Originally a data warehouse, this company has upped its focus on the business process of data management and MDM and issued bold directives aimed at bringing order and control to data governance; you can't just automate this sort of thing but you can make things better with support and measurement for the key stakeholders and role players

Kognitio:
What: Data warehousing, analytics and BI solutions/data warehousing as a service
Why: The new Pablo creates virtual cubes and creates in-memory images of a transactional database or data warehouse for sophisticated analysis by nontechnical users. The Excel front-end validates the spreadsheet's ubiquitous role in BI

Lyzasoft*:
What: Collaborative BI, analytic visualization with audits and traceability
Why: All the right buzzwords from all the right analysts; pretty much unanimous praise for adding context and spreading the wealth of socially shared knowledge

MobileAware:
What: Mobile application development
Why: Mobile devices are customer engagement and interaction channels; we need a point answer in apps in commerce and service that scale to performance needs, backed by on-premise or hosted service delivery; active in W3C mobile and other standards; mobile workforce solutions available through subsidiary Broadbeam

ParAccel:
What: Columnar analytics database
Why: One of the last independent columnar vendors after a convulsion of acquisitions, ParAccel performs powerfully in fast analytics and complex analysis. The latest release is a more extensible platform that leverages MapReduce in the database

Pervasive Software*:
What: Integration, analytics and database management
Why: Embedded software that spans processing and analysis for compliance or other risk is a must have for the whole breadth of data stores; connections available to match all the major service and SaaS platforms