Sisense
NOVEMBER 5, 2020
It will also give you access to advanced technologies like predictive analytics, which can help you get ahead of trends, alert you to staffing issues, skill gaps, and market fluctuations, and provide guidance in an uncertain world. Bottom line: You need a mature people analytics program to really impact business outcomes.
bridgei2i
JUNE 2, 2020
Episode 7: The Impact of COVID-19 on Financial Services & Risk. The Impact of COVID-19 on Financial Services & Risk Management. Now, the first of those areas is definitely risk and portfolio management. So, both data and algorithms become important as we look to assess risk and portfolio management. Management.
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bridgei2i
JULY 8, 2020
They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks. Tune in, and don’t forget to subscribe!
bridgei2i
MAY 4, 2020
And last but not least, insurers are changing their products and underwriting strategy to mitigate this increased risk. But all of this means a substantial effort in loss estimation, rate determination, dissolving or changing risk guidelines. and estimate future incidence and losses using advanced analytics and simulated solutions.
bridgei2i
JUNE 30, 2020
He leads solutions, delivery, and product marketing across customer intelligence, digital analytics, marketing effectiveness, and customer experience analytics. Suvodip brings in over fifteen years of analytics consulting experience, helping organizations drive profitable growth through the power of analytics.
bridgei2i
MAY 26, 2020
You know, their distribution channels, especially in growth in emerging markets, are severely strained economically because of their size. So, a lot of even these companies will have to re-engineer their analytics to reflect this new market reality. And do you think analytics could have predicted this crisis?
Sisense
APRIL 14, 2020
Data is everywhere and every company is focused on what to do with their available data stores: customer journey follow-ups, harvesting precious behavioral insights, performing market analyses, and uncovering sales predictions through Machine Learning, just to name a few. But this was an easy case. However, that is not the only case.
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