Business intelligence is used to
support decision making at the strategic, tactical, and operational levels. At
the strategic level, product and market analytics is the top Business Intelligence
(BI)function, followed closely by strategic planning and market trends and
analysis. Performance management is the dominant tacticalapplication; but
marketing, forecasting, operations planning, and line-of-business pricing and
profitability are close behind. Financials and sales applications are the
foremost operational BI applications, but general operational analytics and CRM
applications are also widely employed.It is therefore imperative to have a
flexible data architecture and design as well as effective data integration to
maintain data integrity and timeliness in all BI efforts. This is particularly
important since the demand for a unified information management platform for
structured and unstructured data is expected to increase over the coming years.
It is not surprising to see increased emphasis in the governance of both data
and BI activities. This also helps explain why it is very important for
organizations to have a framework for prioritizing and guiding the development
of BI activities.
The basic principles of supply
and demand pertain to a company’s ability to recruit and retain business
intelligence (BI) professionals. Organizational demands for business
intelligence capabilities are increasing rapidly and this makes BI environments
even more demanding for hiring and retaining significant BI professionals. Old
and new uses of business intelligence are on the rise, and enterprises of all
sizes are juggling with the complexity of taking on more tools, users and
advanced capabilities, according to a new BI market survey. What is driving
demand for BI services? Mobile BI, advanced visualization tools, integration of
social media, and to a lesser extent, development of intelligent automated
decision support/BI systems top the list of expressed BI priorities for the
coming years. Web-based collaborative BI, cloud-based BI, demand for SaaS
tools, and use of semantic technologies to define business terms are also
important undertakings. To find and keep the best people, it takes an
understanding of how to match the right person with the job, and not just the
one with the best technical skills. In their rush to fill open positions,
managers can overlook that simple principle, resulting in a poor hire that
causes more problems than it solves. There is also a tendency to hire people
that remind us of ourselves rather than what the situation may really require.
To get the best results, employers need a process that identifies employees who
best fit their company based on facts, not just impressions.
The first step for hiring
qualified business intelligence individuals is to determine where you are and
why someone is needed. The answer should reflect the driving business need and
your staff’s abilities. As you look at your whole team, identify the skill gaps
and overlaps and the knowledge base you want in your organization.Otherwise, your
organization might lose significant opportunities by not having sufficient business
intelligence expertise needed to explore and capitalize on the wealth of data whichit
is actively capturing.
For the most intelligent businessintelligence recruitment services, please contact Vertex at www.vertex-it-solutions.com
