Brands need to understand how digital is evolving, so they can continue to serve consumers effectively.
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Timeline
2020
October
- 26.
September
- 1. The effective use of data analytics can not only help to contain the spread of the disease, but also ensure medical supplies are sent to the right place and make contact tracing that much simpler.
August
- 27. With advanced analytics and robust data, it becomes possible to study potential scenarios, optimise resources and better understand the impact of COVID-19 at a national, regional and local level.
July
- 6. The manner in which deepfakes are being abused to sow discord means it is more vital than ever to apply analytics to identify these early.
June
- 22. SAS Viya 4, available in late 2020, is engineered to take advantage of the latest cloud technologies.
- 19. KPMG and SAS plan to establish Cloud Acceleration Centres with specific focus on North America, Europe and Southeast Asia.
- 18. The partnership supports the companies’ shared vision to further democratise AI and analytics.
May
- 22. Analytics can help medical establishments and governments to more accurately visualise, forecast and make informed decisions about the unique challenges created by crises.
- 20. Police services and security clusters should use data analytics to help provide insights on crime trends.
- 13. Understand the disease and forecast future impacts through visual analytics, allowing scientists to visualise trends, infection rates and ‘what if’ scenarios.
April
- 20. The best analytics tools and most competent data scientists in the world are not necessarily enough to overcome the problems that arise when bad data is utilised in an otherwise good system.
- 14. Intelligence is very different to simple information, and analysis is the element that bridges the gap, says SAS.
March
- 5. To remain competitive, companies need to use data-led innovation to enhance the customer experience and journey, as well as the supplier’s sales, service and profits, says Riad Gydien, Senior Vice President: EMEA at SAS.