As companies seek to remain competitive, they are continually searching
for new ways to meet or exceed the expectations of their customers.
As product development cycles are significantly shorter - so too
are the product lifecycles. Companies need to rely more heavily
on their business intelligence systems to stay ahead of trends and
The key to this challenge is access to 'real time' or 'near real
time' business intelligence and analysis. This is particularly important
in the customer facing operations.
Monthly and even weekly analysis is no longer sufficient. Business
information needs to be always available and always up to date.
The instantly available experience of the Internet, provides a
solid benchmark of user expectations. To achieve this, businesses
must develop and maintain real-time flows of business data.
Why BI 2.0?
BI 2.0 heralds the next step for BI in the business intelligence
industry. BI 2.0 is used to describe the acquisition, provision
and analysis of "real time" data. Earlier BI models based
on data mining products [BI 1.0] have not been capable of providing
timely, current data now demanded by end users.
Currently, user expectations have outpaced the capability of business
intelligence software. The gap between expectation and reality is
driven by two factors:
business rules and structures (general ledgers, product classification,
asset hierarchies, etc.) are not in fact uniform, but are spread
out among many disparate transaction system implementations
the landscape of business structures is itself in constant flux,
as groups reorganize, subsidiaries are sold or new companies acquired".
Using a BI 1.0 approach, as long as business intelligence relies
upon a data warehouse structure (including web-based virtual data
"warehouses"), data will need to be converted into a lowest
common denominator consistent set.
Since in most cases, data is sourced from multiple, disparate data
sources that are constantly changing, and often volatile, the business
environment to support BI 2.0 will require restructuring of IT systems
to provide BI data in a genuinely true, "real time" format.
In addition, typcial BI 1.0 data models and databases have been
designed in a way that does not support true 'real-time' business
intelligence across an enterprise.
Resolving these inadequacies is extremely difficult at best, and
signals a long path to true BI capability.
Multi Data Source Capability
BI 2.0 applications can extract and aggregate data from mulitple
data sources, including:
Relational - Oracle, SQL, IBM, Teradata, Sybase,
Dimensional - Cognos OLAP, SAP BW, Microsoft
SSAS, Essbase, Oracle 10G, and IBM DB2 CubeViews.
ERP - SAP, PeopleSoft, and Siebel.
Modern - XML, Java beans, JDBC, LDAP, WSDL.
Satellite - Excel files, Access files, and
Legacy and Mainframe Systems - VSAM, IMS,
IDMS, and Cobol Copybooks.
Content Management Data - FileNet, Documentum,
Future BI Capabilities
In a BI 2.0 model, business information will become more user based
and controlled, allowing end users throughout the organization to
view information on their particular segment to see how it's performing.
The requirements of business intelligence will increase as consumer
expectations increase. For this reason, it is critical to competitiveness
that companies increase at the same pace or even faster than consumer
Virtual BI Tools
Using a virtual interface to display the results of BI reporting
and analytics is a powerful way to visualize in one glance complex
sets or large sets of data.
Video - Using Virtual Earth In The Mortgage Loan Industry