In recent years, we have witnessed a huge shift in recognition around the importance of data as an asset. As the world undergoes a digital transformation, the seemingly small details of our lives are tracked, recorded, and leveraged as data points to make decisions. This cascade of information is growing at a rapid rate, creating innumerable opportunities for organizations to innovate and better serve customers and clients.
Organizations that can capitalize on these opportunities are able to challenge industry competitors that may have been in the market before them, forcing these competitors to rethink their business strategies and viability. Ultimately, being “data-driven” can lead to a competitive advantage and allow an organization to generate long-term value for itself and for its customers.
Mid-sized companies are diverse in terms of size, products and services offered, turnover and technology adoption. The spectrum is broad. On one end are high-growth enterprises in developed sectors, such as textiles and garments, auto components, health care, education and telecom equipment, while at the other we find subcontractors and other slower-growing, informal players in the retail and unorganised sector such as village and cottage industrial units. In the advent of the ‘Fourth Industrial Revolution’, i.e. Technological Revolution, the latter have moved up the value chain from manufacturing of simple goods to sophisticated products, and also entering the service sector. However, all is not rosy, as they are now faced with global competition in a rapidly-growing market, and in order to remain profitable in this competitive environment, it is imperative for them to be quick to adopt newer technology and always maintain one eye on the future.
In such ever changing environments, we as SME’s must learn, equip and adapt ourselves to the new revolution of data, technology & AAA (Adoption, Artificial intelligence & Analytics)
We are in the fore front of this revolution. Building a data driven enterprise is our first learning module to impart the various data definitions, its application in analytics, it will help you each of you to substantiate wisdom of your business by learning the data insights thus backing it up for effective decision making.
Duration – 9 Sessions of two hours each
Timings – 7.15 PM to 9.15 PM, 22nd – 30th June’2020
Training Mode – Online Blended with training & assignments
Modules are
- Introduction to the data revolution
- Baldrige Business Excellence Framework
- Introduction to Data Science
- Introduction to Analytics
- Hands on approach in collecting data, data cleaning, data mining, report generation – MS Excel
- Introduction to Excel – Revision – Basic & Advanced (optional) Add on
- Forecasting & Regression – Multiple & linear – Hands on approach in MS Excel.
- Key analytics tools available in the market & its advantages
- Case studies in each vertical Sales / Manufacturing / HR / Finance
