SAS Customer Analytics for Insurance delivers specific analytical techniques to help you understand and drive decisions related to customer profitability. The solution enables you to segment customers according to a multitude of variables – including demographics, geographics, claims history and other behavioral attributes – to create more meaningful and targeted marketing programs that lead to improved retention rates.
SAS Insurance Analytics Architecture provides insurance carriers with the foundation for implementing an enterprise data warehouse that can provide accurate insight into the business
With more than 30 years of experience in the insurance industry, SAS can help you achieve long-term success and obtain peace of mind. Integrated and extensible insurance solutions built on a flexible business analytics framework and insurance-specific data model speed up both implementation and results, giving you a fast track to significant ROI.
Learn how insurance organizations can leverage FastTrack Analytics to improve financial, underwriting, agent & customer service operations. Use your data to gain competitive advantage in challenging economic times.
IBM Netezza - The data warehouse in a big data strategyIBM Sverige
Big Data - Trender och verklighet inom Information Management.
Denna presentation hölls på IBM Data Server Day den 22 maj i Stockholm av Jacques Milman, Datawarehouse Architecture Leader, IBM
Transforming Insurance Operations through Data and AnalyticsDatalytyx
Analytics and big data is established in Insurance could be better. It's not joined up. Big data is an accelerator of what is possible.
Roger Oldham of Amethyst Business Consultancy explains the impact of big data and analytic technology in the Corporate / Wholesale Insurance market.
SAS Insurance Analytics Architecture provides insurance carriers with the foundation for implementing an enterprise data warehouse that can provide accurate insight into the business
With more than 30 years of experience in the insurance industry, SAS can help you achieve long-term success and obtain peace of mind. Integrated and extensible insurance solutions built on a flexible business analytics framework and insurance-specific data model speed up both implementation and results, giving you a fast track to significant ROI.
Learn how insurance organizations can leverage FastTrack Analytics to improve financial, underwriting, agent & customer service operations. Use your data to gain competitive advantage in challenging economic times.
IBM Netezza - The data warehouse in a big data strategyIBM Sverige
Big Data - Trender och verklighet inom Information Management.
Denna presentation hölls på IBM Data Server Day den 22 maj i Stockholm av Jacques Milman, Datawarehouse Architecture Leader, IBM
Transforming Insurance Operations through Data and AnalyticsDatalytyx
Analytics and big data is established in Insurance could be better. It's not joined up. Big data is an accelerator of what is possible.
Roger Oldham of Amethyst Business Consultancy explains the impact of big data and analytic technology in the Corporate / Wholesale Insurance market.
This presentation provides a brief insight into the need to undertake an analytics project, particularly as it pertains to claims management and fraud. To this end the presentation will touch on the general challenges confronting the property and casualty insurance industry, as well as the challenges and lessons learnt from early adopters of business intelligence. In the face of these challenges analytics holds the potential to generate substantial value as evidenced by several short case study examples. The presentation concludes with a look at the issue of fraud as it pertains to the industry and some of the metrics that are influenced by it.
The presentation draws extensively, and focuses on, the work and viewpoints from industry participants including; Accenture, IBM, Ernst & Young, Strategy Meets Action, Ordnance Survey, Gartner, Insurance Institute of America, American Institute for Chartered Property Casualty Underwriters, International Risk Management Institute and John Standish Consulting. References are included on each slide as well as on the “References” slides at the end of the presentation.
IBM Smarter Analytics takes a look at Big Data and Insurance: uncovering the key area's and impact that insurers need to consider as volumes of data (both structured and unstructured) continue to increase..
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
How Insurers Can Tame Data to Drive InnovationCognizant
To thrive among entrenched rivals and compete more effectively with digital natives, insurers will need to get their data right. That will mean moving to more responsive, AI-enabled architectures that accelerate data management and deliver insights that drive business performance.
Presented by Reto Cavegn at the 4th meeting: We would like to present IBM's view on BigData, what the market is requiring, and what products and strategies are evolved out of this requirements. Futher, we will present some reference projects to show, on what use cases customers are working today and what challanges our customers try to solve with BigData. Let me round up with some challenges and lessons we have learned.
This presentation shows how Predictive Analytics can be more futuristic than BI in using past events to predict the future.
Furthermore, we explore the best practices in Predictive Analytics, the challenges in deployment and how this solution can be used to create business value for the organization.
Presented by Ajay Gopikrishnan, our expert in Predictive Analytics and Data Mining at the BA4ALL (Business Analytics Insight 2014) event in the Netherlands.
http://www.capgemini.com/big-data-analytics
AI Underwriting Case Study for Life Insurance company Artivatic.ai
AUSIS (AI Underwriting Platform) helped a Life Insurance Giant in India to improve their complex underwriting journey to be simple, automated & in real- time.
Life Insurance companies are regulated by IRDA in India and also life insurance companies uses old age legacy processes, systems, risk assessment models and rule based outcome.
To know more, write to contact@artivatic.ai or visit www.artivatic.ai
Data is poised to play an important role in the enterprises of the future, with businesses looking to scale up production and recover costs. Visit: https://www.raybiztech.com/blog/data-analytics/what-are-big-data-data-science-and-data-analytics
Wondering how to bring services to your clients in real time – and on their preferred device? Need to automate your financial supply chain, including risk and compliance functions, and move to a pay for performance model?
Learn about use cases from within the big data ecosystem, ranging from AML compliance, trade lifecycle, fraud detection and digital transformation, and introduce their risk data aggregation and compliance initiative. Find out how you can best leverage Open Enterprise Hadoop to achieve these goals.
Analytics in banking preview deck - june 2013Everest Group
This report provides a comprehensive understanding of the analytics services industry with focus on banking domain. Analytics adoption in the banking industry is covered in depth, exploring various aspects such as market size, key drivers, recent analytics initiatives, and challenges. The report also analyses the trends in analytics deals for various banking subverticals (cards, retail, commercial, and lending) and evaluates analytics capabilities of 20+ service providers in the banking space
Big data & analytics in the insurance industry: Westfield Insurance IBM Analytics
As a top U.S.-based insurer of property, casualty and surety, Westfield realized progress depended on gaining a better understanding of their business. With The Analytics Resource Center (ARC), data is now more accessible, encouraging decisions based on hard evidence rather than intuition.
Data, Analytics and the Insurance IndustryDavid Pittman
With increasing numbers of people turning to social media to reach out to insurance companies, Security First sought a way to better manage its interactions over Facebook, Twitter, LinkedIn and email policyholders in the wake of a catastrophic event. With IBM Big Data & Analytics, Security First integrated social media responses into the claims process and documents these responses to comply with regulations. For Security First, social media is now an actionable communications channel during natural disasters.
This presentation provides a brief insight into the need to undertake an analytics project, particularly as it pertains to claims management and fraud. To this end the presentation will touch on the general challenges confronting the property and casualty insurance industry, as well as the challenges and lessons learnt from early adopters of business intelligence. In the face of these challenges analytics holds the potential to generate substantial value as evidenced by several short case study examples. The presentation concludes with a look at the issue of fraud as it pertains to the industry and some of the metrics that are influenced by it.
The presentation draws extensively, and focuses on, the work and viewpoints from industry participants including; Accenture, IBM, Ernst & Young, Strategy Meets Action, Ordnance Survey, Gartner, Insurance Institute of America, American Institute for Chartered Property Casualty Underwriters, International Risk Management Institute and John Standish Consulting. References are included on each slide as well as on the “References” slides at the end of the presentation.
IBM Smarter Analytics takes a look at Big Data and Insurance: uncovering the key area's and impact that insurers need to consider as volumes of data (both structured and unstructured) continue to increase..
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
How Insurers Can Tame Data to Drive InnovationCognizant
To thrive among entrenched rivals and compete more effectively with digital natives, insurers will need to get their data right. That will mean moving to more responsive, AI-enabled architectures that accelerate data management and deliver insights that drive business performance.
Presented by Reto Cavegn at the 4th meeting: We would like to present IBM's view on BigData, what the market is requiring, and what products and strategies are evolved out of this requirements. Futher, we will present some reference projects to show, on what use cases customers are working today and what challanges our customers try to solve with BigData. Let me round up with some challenges and lessons we have learned.
This presentation shows how Predictive Analytics can be more futuristic than BI in using past events to predict the future.
Furthermore, we explore the best practices in Predictive Analytics, the challenges in deployment and how this solution can be used to create business value for the organization.
Presented by Ajay Gopikrishnan, our expert in Predictive Analytics and Data Mining at the BA4ALL (Business Analytics Insight 2014) event in the Netherlands.
http://www.capgemini.com/big-data-analytics
AI Underwriting Case Study for Life Insurance company Artivatic.ai
AUSIS (AI Underwriting Platform) helped a Life Insurance Giant in India to improve their complex underwriting journey to be simple, automated & in real- time.
Life Insurance companies are regulated by IRDA in India and also life insurance companies uses old age legacy processes, systems, risk assessment models and rule based outcome.
To know more, write to contact@artivatic.ai or visit www.artivatic.ai
Data is poised to play an important role in the enterprises of the future, with businesses looking to scale up production and recover costs. Visit: https://www.raybiztech.com/blog/data-analytics/what-are-big-data-data-science-and-data-analytics
Wondering how to bring services to your clients in real time – and on their preferred device? Need to automate your financial supply chain, including risk and compliance functions, and move to a pay for performance model?
Learn about use cases from within the big data ecosystem, ranging from AML compliance, trade lifecycle, fraud detection and digital transformation, and introduce their risk data aggregation and compliance initiative. Find out how you can best leverage Open Enterprise Hadoop to achieve these goals.
Analytics in banking preview deck - june 2013Everest Group
This report provides a comprehensive understanding of the analytics services industry with focus on banking domain. Analytics adoption in the banking industry is covered in depth, exploring various aspects such as market size, key drivers, recent analytics initiatives, and challenges. The report also analyses the trends in analytics deals for various banking subverticals (cards, retail, commercial, and lending) and evaluates analytics capabilities of 20+ service providers in the banking space
Big data & analytics in the insurance industry: Westfield Insurance IBM Analytics
As a top U.S.-based insurer of property, casualty and surety, Westfield realized progress depended on gaining a better understanding of their business. With The Analytics Resource Center (ARC), data is now more accessible, encouraging decisions based on hard evidence rather than intuition.
Data, Analytics and the Insurance IndustryDavid Pittman
With increasing numbers of people turning to social media to reach out to insurance companies, Security First sought a way to better manage its interactions over Facebook, Twitter, LinkedIn and email policyholders in the wake of a catastrophic event. With IBM Big Data & Analytics, Security First integrated social media responses into the claims process and documents these responses to comply with regulations. For Security First, social media is now an actionable communications channel during natural disasters.
Presentation at Big Data & Analytics for Insurance 2016Paul Laughlin
Presentation on the Softer Skills that Data professionals also need to make an impact. Summary of key lessons from the very popular Consultancy Skills for Analysts training course from LaughlinConsultancy.com
Insurance Industry Trends in 2015: #1 Big Data and AnalyticsEuro IT Group
By implementing customized big data solutions, Euro IT Group can help you unlock the tones of information already flowing through your organization, analyze it, extract value and transform it into insight that drives growth and revenue.
Fixing the Insurance Industry: How Big Data can Transform Customer SatisfactionCapgemini
Insurers are facing a moment of truth. Customer satisfaction levels have hit worryingly low levels. According to a survey conducted by Capgemini in 2014, less than a third of customers globally are satisfied with the services of their insurance providers. Traditional insurers also face competition from new entrants who are determined to meet customer expectations. Non-traditional competitors, such as ecommerce majors and technology startups, are leveraging their data-rich customer interactions to create and sell insurance products.
Surprisingly, insurers seem to have overlooked the impact of Big Data on improving customer experience as they often focus their Big Data efforts on detecting fraudulent claims and improving underwriting profitability. In fact, only 12% of insurers consider the enhancement of customer experience as a top Big Data priority. This is startling given the poor levels of customer satisfaction in the insurance industry. In this research, we examine how insurers can effectively leverage customer data to improve customer satisfaction.
Analytics is the application of computer technology ,statistics and domain knowledge to solve problems in business and industry ,to aid efficient and effective design making.
An exclusive presentation by Ronald Fernandes, SVP - Compliance Department - Axis Bank on 'Automation of Compliance Management – Implementation Considerations. The presentation was made at SAS Forum India 2013.
Richard Thaler (Professor of Behavioral Science and Economics, University of Chicago Booth School of Business; Author) on Misbehaving: The Story Of Behavioral Economics (Norton, 2015) In Conversation with Amanda Lang (Host - “Bloomberg North”, Bloomberg TV Canada)
This clip was filmed as part of our Behavioural Science Experts Speaker Series @ Rotman on May 18, 2016
A presentation by the UNDP Brasilia-based International Policy Centre for Inclusive Growth (IPC-IG) on the 'Intersections between Social Protection, Inclusive Growth and Fiscal Space'. Presented at Brazil's II National Development Conference (CODE), organised by the Institute of Applied Economic Research (Ipea).
Scores De Cobranzas Ais David Fernandez Chile 2010Pilar Mateo
Presentación de un caso práctico de éxito (business case) sobre scores de cobranzas en una empresa de telecomunicaciones. Presentación realizada en el marco del 5º Congreso Nacional de Crédito y Cobranzas, Chile 2010
Recognized as the industry leader in analytics and with more than 36 years of experi¬ence, SAS provides a framework of capabilities to help insurers significantly improve their fraud management processes. With SAS, you get:
• A hybrid approach to fraud detection, including link analysis
• Streamlined case management. Systematically facilitate investigations, and cap¬ture and display all pertinent information without corrupting the system with duplicate data entry.
• Advanced text analytics and data mining.
Business Process Analytics Unlocking the Power of Data and Analytics: Transfo...Capgemini
According our 2012 survey with the the Economist Intelligence Unit, one of the biggest impediments to effective decision making using big data is a shortage of skilled analysts. Capgemini’s BPO Analytics solution can help fill this gap with a centrally-operated managed service that provides the expertise and tools to analyze and interpret trends within and across business processes. We have a team of professionals with both analytical skills and domain expertise along with a flexible, multi-purpose technology platform to convert multiple sources of unstructured data into one structured view. This combination provides clients with a centralized function for transforming vast amounts of data into meaningful insights.
Datamine provides data-intensive information technology solutions & services for Telecoms, Banking & Retail industry. Our offering answers the needs of modern management for analytics, process insight, business & market intelligence.
DB2 for z/OS Update Data Warehousing On System ZSurekha Parekh
Abstract:
Data Warehouses delivers the floor in most Business analytics solution. Recent analysis reveals that the demand for near-real-time data, as well as integration between day-to-day business applications increases.
IBM will share insight on today’s business environment and its impact on an IT organization’s ability to deliver a competitive Business Analytics and Data Warehousing strategy. You will learn how DB2 for z/OS combined with other InfoSphere data movement offerings from IBM can help enable information on demand – user demands.
Technology Strategies for Big Data Analytics, Teradata Aster
SAS Presentation delivered at the Big Analytics Roadshow, 2012 in New York City on December 12, 2012
Presentation title: Technology Strategies for Big Data Analytics, by Bernard Blais, Global Strategist and Principal Manager, SAS
The exploding volume, complexity and velocity of big data present an increasing challenge to organizations, but also a significant opportunity to derive valuable insights. As organizations are tasked with managing massive data sets, it’s clear that the value of big data will be derived from the analytics that can be performed on it. Analytics is the key to identifying patterns, managing risks and tackling previously unsolvable problems. This presentation provides an overview of how to comprehensively tackle big data, including emerging strategies for information management, analytics, and high performance analytics.
Information Management: Answering Today’s Enterprise ChallengeBob Rhubart
As presented by George Lumpkin at OTN Architect Day, Redwood Shores, CA, 7/22/09.
Find an OTN Architect Day event near you: http://www.oracle.com/technology/architect/archday.html
Interact with Architect Day presenters and participants on Oracle Mix: https://mix.oracle.com/groups/15511
The Digital Intelligence Imperative — Driving Digital Customer Experiences W...Tealium
Joe Stanhope, Forrester Research
It’s no secret that marketing sophistication is growing by leaps and bounds to support the delivery of relevant and engaging customer experiences. And as marketing’s reach grows, so too has the remit of digital analytics. The emergence of digital analytics as a hub for understanding and optimizing customer experiences has placed a premium on the effective collection, processing, and distribution of data. This trend dovetails with the emergence of tag management solutions, which has rapidly become a key capability for supporting digital data management.
National Patient Safety Foundation 2012 Dashboard DemoEdgewater
Edgwater attended the NPSF 2012 Patient Safety Congress in order to showcase our proven expertise in developing Patient Safety & Quality systems and processes. This presentation highlights some Edgewater client success stories as well as a demonstration of dashboards developed as part of our projects.
Champion is the integrated analytics suite from ABIBA which helps Telecom Operators in Customer Retention, Customer Acquisition, Customer Segmentation and Profiling, LTV, Cross - Sell and Up - Sell. It is an analytics which has friendly user interface and rich visualization tools .