Is a Career in Analytics Right for You?
Website: INFORM Magazine
The massive demand for analytical resources has caused many students and professionals to look at analytics and big data as a career. Their curiosity, leads them to ask “How do I know if analytics is the right ‘cup of tea’ for me?” or “How do I transition to this career leveraging my background and experiences?” This article describes a cost-effective, analytical approach, along with practical tips to try and iteratively answer these questions.
The massive demand for analytical resources has caused many students and professionals to look at analytics and big data as a career. Their curiosity, leads them to ask “How do I know if analytics is the right ‘cup of tea’ for me?” or “How do I transition to this career leveraging my background and experiences?” This article describes a cost-effective, analytical approach, along with practical tips to try and iteratively answer these questions.
Enterprise Data Management and its Tight Coupling with Data Warehousing and Business Intelligence
Website: B-EYE-Network
This article talks about the importance of placing higher investments into a wise enterprise data management (EDM) strategy to reduce delivery times and reap better returns. It concludes by stating that investing in a sound EDM strategy can pay rich dividends toward successful data warehousing and business intelligence investments, and for that matter, any data initiatives such as analytics.
This article talks about the importance of placing higher investments into a wise enterprise data management (EDM) strategy to reduce delivery times and reap better returns. It concludes by stating that investing in a sound EDM strategy can pay rich dividends toward successful data warehousing and business intelligence investments, and for that matter, any data initiatives such as analytics.
Trends in Data Warehousing and Business Intelligence
Website: B-EYE-Network
This article tries to list some of the observed trends in the data warehousing (DW) and business intelligence (BI) industry that have either occurred in the not-so-distant past, or currently exist or will accelerate in the ensuing months.
This article tries to list some of the observed trends in the data warehousing (DW) and business intelligence (BI) industry that have either occurred in the not-so-distant past, or currently exist or will accelerate in the ensuing months.
Effective Customer Insurance through Analytics
Website: Outsourcing-buzz-blog.com
This blog looks at different ways customer analytics is used by Insurers.Predictive analytics have been used in actuarial services in the insurance industry for many years now. However, given the nature of the insurance business and the market, it is now used in various other functions in the insurance industry – to enhance customer experience and satisfaction, for sales and marketing, to improve operational efficiencies and to reduce costs. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.
This blog looks at different ways customer analytics is used by Insurers.Predictive analytics have been used in actuarial services in the insurance industry for many years now. However, given the nature of the insurance business and the market, it is now used in various other functions in the insurance industry – to enhance customer experience and satisfaction, for sales and marketing, to improve operational efficiencies and to reduce costs. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.
ArticlesIs a Career in Analytics
Right for You? Website: INFORM Magazine The massive demand for analytical resources has caused many students and professionals to look at analytics and big data as a career. This article describes a cost-effective, analytical approach, along with practical tips to try and iteratively answer these questions.
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SpeakerAjay spoke about "Building a Big Data / Analytics / AI Team, Culture & Transformation Roadmap" at the Insurance Innovation Conference. Attendees included startups, VCs, Insurance Commissioners, and Analytics professionals.
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InterviewsIdeal Analytics Curriculum at the Graduate Level
Website: KDnuggets Ajay was interviewed and discussed the differences between analytics and Big Data, the evolution of expectations from data science, important qualities desired in data scientists, ideal curriculum for Analytics focused programs, advice and more.
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