Data Warehousing & Business Intelligence
PGP - DATA WAREHOUSING & BUSINESS INTELLIGENCE PROGRAM
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.
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
The top five Key Trends in Business Intelligence in 2017
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.
The best Data Scientists get out and talk to People
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.
Five Trends shaping the future of Customer Experience in 2017
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.
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