About Forrester
Forrester Research, Inc. is an independent research company that provides pragmatic and forward-thinking advice to global leaders in business and technology.

Boris serves the Application Development & Delivery role. He is a leading expert in business intelligence (BI) — a set of processes, methodologies, and technologies used to transform raw data into meaningful, useful, and action-oriented enterprise information. Boris delivers strategic guidance, helping enterprises define BI strategies, governance, and architectures and identify vendors and technologies that help them put information to use in business processes and end user experiences.
Boris' current research focuses on the practical and actionable best practices for building BI infrastructure and applications, such as BI business cases, architectural options, organizational structures, and vendor selection. Boris continues to explore emerging trends in next-generation BI, such as agile BI architecture and development approaches, in-memory analytics, advanced data visualization, convergence of structured data and unstructured content analytics, process-driven and operational BI, and many others.
Boris has more than 30 years of experience with enterprise software and applications implementation, management consulting, and strategic advisory skills. Most recently, Boris was a managing partner at Textra, a boutique strategic advisory firm serving all IT constituents: users, vendors, and investors. Boris cofounded Textra after spending several years as a VP and a strategic technology advisor at JPMorgan/LabMorgan, where he led many successful internal BI initiatives, advising the bank's large enterprise software clients on enterprise adoption issues and product and marketing strategies. Prior to JPMorgan, Boris served as a senior manager of data warehousing and customer relationship management (CRM) practices at PricewaterhouseCoopers. Boris started his career at Citibank, where, among many other successful projects, he implemented the bank's first global credit risk data warehouse.
Boris holds a degree in music education from Moscow Gnessin School Of Music, Russia.
Business intelligence (BI) is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information. It allows business users to make...

In Forrester's 151-criteria evaluation of enterprise business intelligence (BI) platform vendors, we found that IBM Cognos and SAP Business Objects maintain their leadership positions, while Oracle...
IBM Cognos, SAP BusinessObjects, and Oracle Lead, With Information Builders, SAS, Microsoft, and MicroStrategy Close Behind
In Forrester's 145-criteria evaluation of enterprise business intelligence (BI) platform vendors, we found that IBM Cognos, SAP BusinessObjects, Oracle, Information Builders , SAS, Microsoft, and...
Align Data Management Roles To Create Stronger Business Value
The continuing explosion in data volume, increasing numbers of business users, growing data complexity, compliance requirements, need to support global operations, and growing need for real-time...
Business intelligence (BI) sits at the top of the IT priority list for many enterprises. Enterprises that haven't paid enough attention now see a need to act, and those that have kept up with BI want...
With change endemic, business flexibility paramount, and the lines between strategic, tactical, and operational decision-making blurring, information and knowledge management (I&KM) pros must find...
Agility Will Shape Business Intelligence For The Next Decade
Forrester continues to see ever-increasing levels of interest in and adoption of business intelligence (BI) platforms, applications, and processes. But while BI maturity in enterprises continues to...
Actuate BIRT Leads, With Jaspersoft Enterprise, SpagoBI, Pentaho Enterprise, And Pentaho Community Close Behind
Comparing open source BI technologies is often an apples-to-oranges comparison: 1) not all vendors include the same functionality in the free community versions of the software versus commercial open...
At extreme scale, traditional data management and business intelligence (BI) become impractical, and your business does not get what it demands — more insight to drive greater business...
Business Case: The Business Intelligence Playbook
As the demand for pervasive and comprehensive business intelligence (BI) applications increases, so do the complexity and cost of large enterprise BI implementations. Organizations must demonstrate...
Why, When, And How To Select A BI SaaS Vendor
Slowly but surely, with lots of criticism and skepticism, the business intelligence (BI) software-as-a-service (SaaS) market is gaining ground. It's a road full of peril — at least two BI SaaS...
Practical Advice Applicable To Any Economic Condition
As an economic downturn becomes a sobering reality, enterprises look for various ways to increase revenues and reduce costs. While overall IT budgets become targets for cost cutting, business...
Mitigate Common Pitfalls To Optimize The Return On Your BI Investment
The increasing pervasiveness, complexity, and criticality of today's business intelligence (BI) applications have led enterprises to recognize the need for something more formal than a traditional IT...
Business process professionals driving data management initiatives face many challenges when creating complex, cross-enterprise, multiyear strategies for data management, business intelligence (BI),...
IBM's SPSS Deal Nudges Analytics Industry Toward Deeper Predictive Focus
Enterprise strategic, tactical, and operational decision-makers want to understand past and present activity but also anticipate the future to avoid being blindsided by seemingly hidden events. How...
Combining Unstructured And Structured Info Delivers Business Insight
Search and business intelligence (BI) really are two sides of the same coin. Enterprise search enables people to access unstructured content like documents, blog and wiki entries, and emails stored...
Reduce Development Time And Effort With Metadata-Generated BI Applications
Complexity represents one of the toughest challenges facing traditional business intelligence (BI) applications. Multiple components must be considered including data integration, cleansing,...
Six Leaders And Six Strong Performers Compete For A Share Of The End User BI Market
In Forrester's 31-criteria evaluation of self-service business intelligence (BI) vendors, we found that IBM, Microsoft, SAP, SAS, Tibco Software, and MicroStrategy led the pack due to the breadth of...

Solving An Age-Old BI Dilemma: Enabling End User Self-Service
For years, traditional business intelligence (BI) technologies have provided tools for reporting, analysis, and visualization of information. While these technologies continue to remain the core...
Mobile Tablet PCs, Not Phones, Will Create Critical Mass For Enterprise Adoption
Mobile devices and mobile Internet are everywhere. Over the past few years, Forrester has tracked continuously increasing levels of adoption and maturity for mobile business applications, but not so...
Business intelligence (BI) initiatives are unlike most other enterprise software projects. They do not fit well into the traditional software development life cycle (SDLC), and are notoriously...
Vision: The Business Intelligence Playbook
Demands by users of business intelligence (BI) applications to "just get it done" are turning typical BI relationships, such as business/IT alignment and the roles that traditional and...
Forrester's Business Intelligence Data Architecture Decision Tool Helps You Make The Right Choice
Delivering business intelligence (BI) effectively depends on a data management architecture that fits your reporting and analytical requirements. Unfortunately, many data warehousing (DW) and BI...
Complement Your RDBMS-Based BI With More Agile DBMS Technologies
We know how to address the key business intelligence (BI) challenges of the past 20 years, such as stability, robustness, and rich functionality. Agility and flexibility challenges now represent BI's...
This decision tool will help I&KM professionals evaluate their options for logical data architectures to support Business Intelligence, such as physical BI repositories vs. federated data access to...