Embedded Business Intelligence
Embedded
BI is the integration of reports, dashboards, and analytic views inside an
application. The information is typically displayed and managed by a BI
platform and is placed directly within the application user interface to
improve the context and usability of the data. Use of an embedded BI platform
delivers state-of-the-art reporting and analytics without the time and expense
of having to build it.
BI
is embedded into operational world and help to make better decisions in real
time which is relevant, timely and actionable.
- Real Time BI - Embedded BI acts on real time data, not time delayed data stored in a separate warehouse or OLAP cube. A key factor in this is the source of the data - it comes from the application (or uses the same source as the application), not a data warehouse or data mart.
- Seamless Integration – Users do not want to switch applications between undertaking operational and reporting activities. Integrated security and look and feel assist create a seamless integration between the host application and reporting.
- End User Centric – Embedded BI is much more end-user focused than traditional BI. With embedded BI you cannot assume that your users has knowledge of both the BI application and the data set being analysed. Embedded BI needs to be significantly easier to use without training.
Benefits of Embedded BI:
Eckerson
intimated that because users of standalone BI solutions are required to exit
operational applications in order to access relevant reports, then subsequently
re-enter the operational application to take appropriate action based on the
intelligence garnered from the BI tool, their productivity is reduced.
Eckerson
said reduced productivity was a result of two key factors:
·
Having to exit, enter and re-enter
different applications breaks user “train of thought”; and
·
Having to view analytical
information via a separate BI application means the data is not viewed in its
optimal context.
.
These benefits included:
·
Higher perception of BI ease-of-use
·
Higher perception of information
relevancy
·
Higher perception of reporting and
analytics accessibility
·
Boost BI user adoption: Embedding
BI functionality into an existing software application enables users to access
and interact with those analytical features within a framework that they are
already accustomed to, thereby increasing ease-of-use and lowering resistance
to adoption. Not only does replicating the look and feel of the core application
reduce barriers to adoption, embedding BI into an existing operations-specific
application also ensures the relevancy of the analytics produced for the user
base.
·
Boost BI effectiveness: Embedded
BI can directly link reporting and analytics capabilities to operational
processes to help improve the immediacy and relevancy with which users attain
data-based insights, hence assisting to directly link insight to action.
·
Support pervasive BI: Embedded
BI enables more pervasive use of reporting and analytics – and facilitates and
underpins the development of an organizational culture based on fact-based
decision-making – because BI insights are delivered via the applications and
processes that users already utilize on a regular basis to perform their job.
Therefore, embedding analytical capabilities into existing applications and
processes is an effective way to deliver BI to a wide range of business
departments without having to purchase a standalone BI platform to meet the
requirements of each user group.
·
Build a bridge between information
and action: By combining analytical and operational functions, embedded BI
empowers users with the context they need to understand the relationships
between operational processes and business data, enabling them to react faster
to emergent internal and external business threats or opportunities.
·
Boost organizational effectiveness
and efficiency by facilitating process automation: Embedded BI, directly
linked to operational applications, can trigger automated actions and / or
alerts that improve or address function-specific business processes (based on
pre-determined benchmarks) in drastically reduced timeframes.
·
Enhance the salability and value of
your core applications: And, if you’re a software vendor, adding an
analytics module to your core application(s) can significantly increased the
salability and value or your product(s).
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