Live Webinar March 5th, 2015 11:00 am – 12:30 pm EST
Duration: 1 Hour 30 Min Credits: 1 PDU Category A – Free PDU
Presented by: Computer Aid Inc IT Metrics & Productivity Institute (Rep 2733)

What Skills Do You Bring To The Table?

Business Analysis for Business Intelligence is a somewhat orphan discipline.

Many IT analysts believe the classical analysis and development methods will do whereas the customer i.e. the finance, marketing, operations, and general manager to name a few, often readjusts the brief as the development is under way. They do this claiming “Now I see the possibilities I can really define my requirements”.

In this session Bert Brijs will present a case for considering Big Data business analysis and project management as special disciplines.

Business Analysis for Business Intelligence is the first attempt ever to match the business intelligence analysis track with the strategy process the organization manages (or sometimes undergoes).

Only by synchronizing the analysis with the strategy process can we avoid costly rework, disappointed customers and frustrated developers!

When you discover Bert – Check out his site BA4BI  and the “New Stuff” section in his book – you will find additional material which is also published in IT Performance Improvement

Presenter:  Bert Brijs (LinkedIn profile) Senior BI Consultant, Lingua Franca bvba & Lingua Franca B.V, and is the author of the highly regarded book Business Analysis for Business Intelligence & the Business Analysis for Business Intelligence Blog: BA4BIBlog.

With expertise in PRINCE2 project management, CRM Projects, Business Intelligence projects, Branding strategies, Balanced Scorecard implementations, Knowledge Modelling and e-learning application management, BI, CRM & KM Enterprise Architecture, Data Mining strategies, Functional Analysis, Data Modeling, Data Quality Management, Master Data Management, Datawarehouse architectures – Bert is certainly the expert to get to know for your BI Projects!

Click to register for Business Analysis For Big Data

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