10 Analytical Trends to Watch in 2022

10 Analytical Trends to Watch in 2022

Curiosity becomes a desirable job skill
“Curiosity helps companies tackle critical challenges – from improving job satisfaction to creating more innovative workplaces. Curiosity will be the most in-demand skill in 2022 because curious employees help improve overall retention, even during the great resignation.” [See the SAS [email protected] The report, which polled managers globally across industries.]
Jay Upchurch, This is

COVID is rewriting AI models
“The pandemic has upended expected business trajectories and exposed weaknesses in machine learning systems that rely on historical data and reasonably predictable patterns. This has identified the critical need to leverage investments in traditional analytics teams and techniques to quickly discover data and make hypotheses. A key role in helping businesses respond to the ongoing dynamic markets and uncertainty in 2022.”
Uncle BritPrincipal Product Manager for Analytics

Scammers take advantage of supply chain problems
“While supply chain fraud is nothing new, it will be a huge challenge globally in 2022 as the ongoing pandemic continues to disrupt everything. Companies have reduced focus on risk management for supply chains in a hurry to find alternative supply sources Scammers and criminal gangs won’t miss the opportunity to exploit this situation, as supply chain analytics will lead the transformation as organizations strike a balance between continuity and survival on the one hand, and risk management and anti-fraud on the other.
Stu BradleySenior Vice President of Security and Fraud Intelligence

Demand signals help save the supply chain
“In retail, expect more low stocks, high demand, and “out of stock” through 2022. Staff shortages – from store partners to warehouses to truck drivers – will be another challenge in 2022; consumers should prepare for longer in-store wait times Overall, retailers that thrive in the 2022 new normal will proficiently use analytics to capture and read supply chain information and consumer demand signals, then quickly respond to supply chain anomalies and changing customer preferences.”
Dan Mitchell, Global Retail Practice Manager

Analyzes predict disease outbreaks
“We need to go from figuring out what is already there to anticipating what will happen next. We know that the disease is there, where it comes from and how it evolves, but we don’t know when those changes will happen. We must continue to use analytics in order to answer these questions, which is is critical to identifying future threats to human health.”
Meg Schefferepidemiologist,

COVID puts data at the center of clinical research
“Much has been said about the long-term effects of COVID-19 on clinical trials and research, often due to it becoming more decentralized. However, the real game-changer is the critical role of organizational degree analyzes to accelerate patient enrollment, ensure a healthy clinical medicine supply chain, and produce research Clinically meaningful and personalized results from a stream of structured and unstructured information. As clinicians increasingly rely on remote information in addition to that generated in the physician’s office, we will continue to see more reliance on digital health analytics and artificial intelligence.”
Mark LambrechtDirector of Health and Life Sciences Practice for Europe, Middle East, Africa, and Asia Pacific

Livestock control stops the spread of disease
“Disease outbreaks in the livestock industry are still ongoing. This will likely lead to opportunities for livestock monitoring solutions to gain more adoption to combat the spread of new diseases through heat stress, floods and droughts in the coming years. While COVID-19 has dampened demand On animal products, particularly across hotels and catering companies, new initiatives favoring animal health and welfare will require similar monitoring solutions.”
Sarah Myers, Senior Product Marketing Manager at Horizon Industries and Segments

AI and data literacy fight misinformation
“Studies show that false news is more likely to reach people than the truth. The future will require a combination of analytics and artificial intelligence working in the background of popular platforms to help provide insight into the truth. However, powerful algorithms are not enough. We need to continue to Building media literacy skills and data that will help everyone discover fact from fiction.”
Jane SaborinSenior Software Developer, Corporate & Brand Social Innovation

Data insight boosts public confidence
“Governments will have to address the structural changes needed to improve data use in three ways: government must release data with a level of detail that matches decisions that need to be made to citizens, address privacy concerns about detailed personal information and increase the speed at which data can be shared. Investments in the workforce and legislative action to drive these changes.”
Tara HollandDirector of Government Industry for Public Sector Marketing

AI ethics standards begin to coalesce
“I expect an increased focus on AI frameworks and standards that are being led by regulatory/legislative bodies, and most importantly, industry as well. While it is unlikely that we will have de facto standards in United State, and companies in other parts of the world such as the European Union and Southeast Asia The union will begin around the common methods of artificial intelligence. “
Reggie TownsendData Ethics Practice Manager

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