A lot of companies turned to Analytics in order to streamline their operations and business processes. Analytics also help companies identify upcoming opportunities, and even threats. In an article published by Michigan State University, the three most sought-after goals why companies used Data Analytics were the ability to reduce costs, increase profitability and improve risk management.
Furthermore, data analytics can also be used by employers to make better and wise decision-making, and analyze the current trends in the global market and to know how they will satisfy their loyal customers and new customers - which can lead to new, better, and worthy products or services. The challenges for companies, however, are to understand how analytics can help their business and begin and address any issues they believe are most important to short- and long-term success.
The Chamber supports any effort to up-skill and re-skill employees as we bounce back from the disruption brought on by the pandemic. Leading data analytics software firm Minitaband the Amcham Center for Training and Development is offering a complimentary workshop about The Power of Data Analytics: Thriving in a Data-Driven World on August 31, 2021 at 10:00am-12:00pm via Zoom. This program will ultimately benefit organizations that are struggling with applying right Data Analytics tools to identify potential business opportunities.
Attendees will be given free access to Minitab software solutions as part of the workshop. Register now as seats are limited. This workshop aims to:
- Assist companies to make informed decisions using the most common predictive and prescriptive analytical tools to solve business problems.
- Supply companies with the right information on how they can improve their manufacturing processes and reduce defective products.
- Showcase success stories that leverage the benefits of using a data analytic tools, including specific machine learning techniques that are used in the Financial Services Industry sector to reduce the risk of loan default, how professionals are optimising customer service level with DOE (Design of Experiments) in the non-manufacturing sector, and tackling some incidents in the healthcare industries.
- Provide hands-on experience in analyzing data sets and walk you through how to align your applications with the right statistical tool, and interpret statistical output to reveal problems with a process or evidence of an improvement.