Webinar on how Insurers can invest in Data Analytics to Improve Decisions with I
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Description: | ASSYST’s PanBI Big Data Analytics, a web-based, and mobile ready collaborative data analytics platform provider, will host a live, complimentary webinar titled, “Insurance Data Analytics”, on Thursday, April 6, 2017, from 01:00 PM to 02:00 PM Eastern Time. The webinar will offer expert advice from Ali Alkalamchi, Insurance Analytics Specialist. Data Analytics has been used in a number of industries to allow the organizations and companies harness their data and use it to identify new opportunities. Technology disruption, market volatility, changing B2B / B2C customer buying behavior, adoption of AI/Machine Learning and competition from digital native firms are some of the persistent challenges being faced by Insurance firms. In the case of brokerages and agencies, decisions around quoting, servicing, customer and financial management have always been core to their operations. Insurance companies recognize that compiling a large volume of data the insurance industry operates with, arriving at meaningful information, can be a challenging task. More than ever, CIOs, CFOs need readily-available data on investment opportunities and risks which in turn facilitates Insurers to take right decisions to optimize returns. This upcoming webinar will share thoughts on how small to medium sized Insurance Brokerages and Agencies can drive insights to improve customer satisfaction for your insurance organization with business intelligence solution. This online session will cover: Industry Landscape Challenges Insurance Data Analytics Solution Insights by PanBI Q & A |
URL: | http://panbi.co/content/webinar-registration?title=%20%22%20Insurance%20Data%20Analytics%20%22&date= |
Date: | Thursday, April 6, 2017 |
Time: | 1:00pm-2:00pm UTC |
Duration: | 1 hour |
Access: | Public |
Created by: | Public Access |
Updated: | Friday, March 31, 2017 8:15am UTC |
: | 0 |
: | 703-230-3136 |
: | aalkalamchi@assyst.net |
: | Ali Alakalamchi |
: | 703-230-3138 |
Comments: | None |