Business Analytics is all about transforming the data to information and then using that information for effective decision making. Small and large organisations have loads of data, but don’t know how to use them? The data is being collected for the sake of collecting, but forgotten over the period or no one has the time to mine it for opportunities. All organisations has two types of opportunities, one, the visible opportunity and the other is hidden opportunity. Most organisations are doing good on the visible part of the opportunity, but completely clueless about the invisible opportunity. This invisible opportunity is very much lying dormant within the organisation, one need not have to find it elsewhere – that is the data what we have in our organisations. Today, most of the business analytics programs are tools based and doesn’t delve into the principles of data science. Even if I have an Aladdin Lamp and don’t know where to rub, it is useless in my hand. Hence knowledge of a tool without understanding the principles of data science will not be very helpful. I would rather recommend 'Master Microsoft Excel’, which all of us know and try to mine the data what you have in your organisation. Because most of the time, I find people embark on business analytics are misdirected to mastering a tool or two and completely loose the focus on the very foundation of how to interpret a data or information?
Who Should Attend?
Marketing directors, business analysts, and finance and operations leaders across a range of industries can benefit from the new skills and approaches gained through this program. The program also is highly relevant for senior managers who seek a more strategic viewpoint on analytics.Program Date, Venue, and Structure:
Venue: Hablis Hotel, 19 GST Road, Guindy, Chennai 600 032, India.
09:00 AM to 09:30 AM Registration
09:30 AM to 10:00 AM Speaker-1
10:00 AM to 12:15 PM Speaker-2
12:15 PM to 03:15 PM Speaker-3
03:15 PM to 05:30 PM Speaker-4
05:30 PM to 06:00 PM Networking
11:00 AM to 11:15 AM Morning Break
01:00 PM to 02:00 PM Lunch Break
04:00 PM to 04:15 PM Evening Break
- Accomplishing business goals using analytics
- Understanding customers
- Improving business processes
- Identifying resources necessary for successful implementation of analytics projects
- Factors affecting vendor selection
- Adoption and change management for analytics initiatives
- Opportunities and challenges for Big Data
- Excel exercise with data set.
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