Data Warehousing & Business Intelligence

 Data Warehousing


                                             Data Warehousing & Business Intelligence

Why DW & BI

1. Business intelligence is new management reporting and dashboarding.

2. Data warehousing and business intelligence can help the organizations both proactively and reactively managing areas of concerns and identifying areas of potential.

3. Most of the large setups in India and across the globe have BI systems either implemented or are in process of implementation.

4. BI systems have seen proven benefits in businesses across the industries like airlines, public administration, health care, FMCG, manufacturing, financial services etc.

Benefits of DW & BI Course

1. The demand for BI experts is increasing at the rate of approximately 25%

per year.

2. This course is meant not only for IT professionals but for industry experts as well since BI is more of a business function now rather than IT function.Business Intelligence

3. Learn from the experts – We have engaged the best brains in the industry with a sea of practical and implementation experience in the field to give you the best available knowledge and share the real life case studies and experiences across different domains to prepare you for the real world.

4. Learn and understand the functionality various tools and technologies for DW & BI.  

Course Contents

Module 1 : Basics of Data & Data Management

Module 2 : Data Warehousing – The Basic Understanding

Module 3 : Data Warehouse : Design & It’s Implementation in Business

Module 4 : Tools & Technologies of DW

Module 5 : Business Intelligence – Origin & Foundation

Module 6 :Designing BI systems for Business Use

Module 7 : Tools & Technologies of BI

Module 8:Project Work

A study has identified five key trends that will impact business intelligence (BI) this year. Cloud based technologies will ensure that BI will be a less expensive proposition this year. The earlier practice of BI being divorced from its reporting tools will vanish as they will get integrated into unitary solutions. BI will be able to leverage the strength and growing ubiquity of the Internet of Things (IoT). BI will continue its rise in analysis as even more minute, granular bits of analytics will not be extracted from existing data. It is a myth that finance is the main department using BI tools, instead the others have been using and will continue to make full usage of them.


A good data scientist understands that poring over heaps of data in front of a computer screening, using algorithms and conducting the analysis is the most important part of his/her job. However, a great data scientist in addition to what a good one does, also goes out in the open, talks to people to get a real practical feel and does ground work. That is why while the former trust marketing research using surveys completely, the latter are aware that non-sampling errors play a big part. That is what led to the wrongful predictions made by the Princeton Election Commission and the New York Times in the recent US Presidential elections. It is important to note how the data was actually collected. Analysis of the said data may not be enough, instead genuine background research is necessary to get the full context of the situation. Also all theories learnt and observed must actually be applied in day-to-day circumstances.


The field of customer experience will be at the forefront in the coming year. Five trends in particular will shape the same in 2017. The Internet of Things (IoT) has already started making headway into everyday usage but that will rise further in the upcoming year through devices such as Fitbit and experiences such as the one Absolut has curated for pleasurable drinking. However, greater penetration of IoT also implies improved security measures as evidenced by the outages earlier this year on Twitter, Spotify and several other networks. Machine Learning is already improving customer experiences. Data is being tracked to deliver personalized experiences depending on the business intelligence captured. A very good example of this is football team Real Madrid’s use of a Microsoft application to analyze worldwide fans and then divide them into groups in terms of following. Data will define customer experiences especially in CRM as already done by Sephora. The smart diagnostics deliverables will improve in 2017 with major consumer durables player LG entering into this in a big way. This combines IoT with the analytics to provide refined customer experiences. The mobile phone will become ubiquitous to business as well as personal decision making in the year. That will lead to more in-store applications to guide the customer on product qualities.


Platform based businesses such as Uber, Facebook, Google, Airbnb and Amazon continue to do great business, while disrupting other models. A misconception is that these companies are doing well due to their matchmaking capabilities. They do connect the best suited sellers with the ideal fit customers, but there is more to their business model. Beyond matchmaking, these platforms provide enormous amount of business intelligence about what the market really needs. They give genuine insights after analyzing the vast data which they get during their business processes. These insights also help companies to streamline their production and supply while often changing their product altogether due to market feedback. The head of Alibaba has explicitly stated that their business is there for the purpose of helping as many people as possible.


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