Currently:
- The entire program is being conducted online.
- Each program is of 15 hours, conducted in 2 hour online modules daily.
- Next online Program Schedule: Start 8th March - End 17th March 2021 (8th March - 12th March; 15th March - 17th March 2021)
- Timings: 7:00 pm - 9:15 pm SGT; 4:30 pm - 6:45 pm IST (10 min. break after every 1 hour of online session )
- Program Fee: S$795 (USD 600)
Suspended till further intimation:
Classroom Training Sessions:
Program Duration: 3 days (9 am to 5:30 pm)
Program Locations: Singapore, Kuala Lumpur, Malaysia, Jakarta Indonesia
For special packages available for all those registering for 2 or 3 programs in Singapore, Kuala Lumpur or Jakarta, get in touch with us to know the details.
Analytics is an essential skill needed to run your business successfully. Common applications of analytics include the study of business data using mathematical & statistical analysis to discover and understand patterns which will help predict & improve business performance in the future. Analytics is an integral part of most businesses, though most of it has been intuitive till recently.
It was projected, sometime during 2013, that 90% of the world's data had been created during the preceding two years going back from that date. With the right analytical tools and algorithms applied to the pertinent volumes of data, major insights can be gained and strategies devised, particularly in the domains of Marketing, Customer Services and HR, among others. The accuracy of answers, based on key queries posed by functional managers in these domains, would also improve significantly. Forecasts and projections, based on intuitive analysis, often no longer deliver the competitive edge necessary for businesses to stay ahead.
Analytics can be a rigorous and ever-evolving discipline and data scientists and analysts need to have a theoretical grounding and hands-on knowledge of the various tools, apps and algorithms needed to massage the relevant data and arrive at certain answers. However, it is up to the functional manager and professional to pose the ‘right questions’ and seek the relevant projections which will enable the business to keep its nose ahead of the competition.
Key Takeaways for Participants
- Identifying and Framing the Analytical Problem: A proper quantitative analysis starts with recognising a problem or decision and beginning to solve it. In decision analysis, this step is called framing.
- Working with Quantitative People: Speaking of quantitative analysts, it’s really important for managers & functional professionals to establish a close working relationship with them. While you have the understanding of the business problem; your “quant” has the understanding of how to gather data on and analyse it.
- Understanding Different Types of Data and Their Implications: These days, you’ll hear a lot about big data and how valuable it can be to your business. But most managers don’t really understand the difference between big and small data.
- Understanding Different Types of Analytics and Their Implications:. Predictive analytics use statistical models on data about the past to predict the future. Prescriptive analytics create recommendations for how workers can make decisions in their jobs.
- Exploring Internal and External Uses of Analytics: Managers & professionals need to be aware of the distinction between internal and external uses of analytics. While, historically, analytics were used almost exclusively to support internal decisions, presently, several companies are also using data and analytics to create new products and services.
| Faculty: Raja Mitra
Raja Mitra has significant operational & leadership experience in Operations, Marketing & Business Development, Project Mgmt. & Customer support for corps. like Bull, Olivetti, an IBM Subsidiary as well as for medium-sized enterprises & start-ups in APAC. His experience encompasses deploying Infocomm products & services in domains like Banking, Manufacturing & Distribution. Clients included HP, Oracle, Amex, State Bank of India, SMC Corp. & major publishing groups. In his leadership roles he had entered into partnerships with Microsoft & IBM ASEAN, on behalf of organisations he was working for. Raja has a Masters in Business Management from IIM, Calcutta and a Bachelors in Engineering (B.Tech.) from IIT Kharagpur. |
Course Content Outline:
Analytics - Descriptive, Predictive, Prescriptive, Big Data