How can property and casualty insurers effectively use Big Data and Risk Analytics to underwrite better? This presentation explains the role of Big Data in insurance, talks about how to use Big Data along with traditional data methods and presented information about the technology around Big Data and its use for commercial insurance.
How to make the digital customer relationship seem human?intellectseec
Learn how buzzwords like omni-channel, digital, customer-centric and big data can be used by insurance companies to appeal to the evolving insurance customers. Originally presented by Traci Perrelli, Product Manager, Intellect SEEC at LOMA Customer Service Conference, 2016.
Minimize Your Client's Risk: From IP to Cash FlowTraklight.com
Most businesses are unaware of the legal issues businesses can face at the outset. Often it is simple mistakes or omitted steps that jeopardize a company's future. Areas covered during this webinar include: foundational decisions, financial projections, intellectual property, record-keeping, fundraising preparation, employee versus contractor decisions, and entity types.
The Digital insurer was pleased to present at IQPC claims & underrwriting conference in Singapore in September 2013. The presentation aimed to stress the important of tablet POS toolkits as a tool to transform agency distribution. In that context the opportuntiy for digital underwriting is then clarified.
The Digital Insurer managed Asia's largest article forum for professionals interested in digital insurance.
How to make the digital customer relationship seem human?intellectseec
Learn how buzzwords like omni-channel, digital, customer-centric and big data can be used by insurance companies to appeal to the evolving insurance customers. Originally presented by Traci Perrelli, Product Manager, Intellect SEEC at LOMA Customer Service Conference, 2016.
Minimize Your Client's Risk: From IP to Cash FlowTraklight.com
Most businesses are unaware of the legal issues businesses can face at the outset. Often it is simple mistakes or omitted steps that jeopardize a company's future. Areas covered during this webinar include: foundational decisions, financial projections, intellectual property, record-keeping, fundraising preparation, employee versus contractor decisions, and entity types.
The Digital insurer was pleased to present at IQPC claims & underrwriting conference in Singapore in September 2013. The presentation aimed to stress the important of tablet POS toolkits as a tool to transform agency distribution. In that context the opportuntiy for digital underwriting is then clarified.
The Digital Insurer managed Asia's largest article forum for professionals interested in digital insurance.
Ways to Make Business Intelligence Work for Your Small BusinessSpiceworks
In this first 60-minute webinar in the series, Spiceworks and CDW team up to provide answers to your questions on business intelligence - a subject that's becoming increasingly important to small businesses.
Fortify Your Enterprise with IBM Smarter Counter-Fraud SolutionsPerficient, Inc.
Organizations lose an estimated five percent of annual revenues to fraud, totaling nearly $1 trillion in the U.S. alone. Cyber criminals are more organized and better equipped than ever, and continue to evolve their strategies in order to undermine even the strongest protections.
We continue to hear about major security breaches across all industries, but what is being done to fix the problem? There must be a tight interlock between risk, security, fraud and financial crimes management. Current solutions are proving inadequate as point solutions and a corporate silo mentality directly contribute to the risk of fraudulent activities going undetected.
Our webinar covered:
-How IBM’s Smarter Counter Fraud initiative can help public and private organizations prevent, identify and investigate fraudulent activities
-Real-world use cases including how one financial institution stopped $1M in fraud in the first week after implementing a counter-fraud solution
-Perficient’s multi-tiered approach to help guide successful business outcomes
It’s time to stop the bad guys with IBM Smarter Counter Fraud and Perficient – learn how now!
The business value of consumer analytics and big data is not just about what you can discover or infer about the consumer, but how you can use this insight promptly and effectively across multiple touchpoints (including e-Commerce systems and CRM) to create a powerful and truly personalized consumer experience.
For most organizations, mobilizing this kind of intelligence raises organizational challenges as well as technical ones.
This presentation reveals how some leading companies are starting to address these challenges, and describes the vital role of enterprise architecture in supporting such initiatives.
Enabling Success With Big Data - Driven Talent AcquisitionDavid Bernstein
Adopting an evidence-based recruitment marketing strategy is not just reserved for large employers. In fact, a targeted sourcing strategy can in some ways have a greater impact on small and mid-size businesses who need to allocate already-limited resources to the areas that will provide the most value. Ultimately, hiring the right candidate means profitability for your business. How can talent acquisition professionals gain the insights their organizations need to make better-informed decisions about their recruitment marketing efforts?
How we did it: BSI: Teradata Case of the Tainted LasagnaTeradata
Great Brands, a major food producer, faces yet another recall. The government is pointing at Turkey Broccoli Lasagna as the culprit, so the Chief Risk Officer and Chief Supply Chain officer bring in BSI investigators to help them build a better/faster track and trace system, using Big Data analytics.
To see more BSI: Teradata, go to http://www.facebook.com/bsiTeradata
Kickstart a Data Quality Strategy to Build Trust in Your DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
Linking Data Governance to Business GoalsPrecisely
The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations scale quickly and increased and increase customer loyalty.
Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.
In this on-demand webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
Analytics in Financial Services: Keynote Presentation for TDWI and NY Tech Co...Fitzgerald Analytics, Inc.
Keynote Presentation Given in New York City on March 30th, at a joint event of The Data Warehousing Institute (TDWI) and the New York Technology Council. This keynote presentation by Jaime Fitzgerald focused on "Bridging the Gap" between business goals in the data and analytic enablers of achieving these goals.
Improve policyholder relations by applying analytics to determine premiums & ...intellectseec
Overhaul your underwriting process using analytics -
Read this presentation by Tony Cid, Head of Commercial Insurance, Intellect SEEC which was presented at Insurance Analytics Canada Summit, 2016 to understand how analytics can enable a digital shift for underwriting.
Disruption in financial services GAMA ELC by Pranav Pasrichaintellectseec
Finanacial technology is being disrupted by non-traditional competition. Read how driverless cars, IOT, block-chain, social insurance, smart machines, artificial intelligence and Big Data will impact insurance
Key discussion points:
How do Claims and Underwriting typically relate? Why align Underwriting and Claim departments at Society? What changes did Society make and how? What impact did the change have on results?
Ways to Make Business Intelligence Work for Your Small BusinessSpiceworks
In this first 60-minute webinar in the series, Spiceworks and CDW team up to provide answers to your questions on business intelligence - a subject that's becoming increasingly important to small businesses.
Fortify Your Enterprise with IBM Smarter Counter-Fraud SolutionsPerficient, Inc.
Organizations lose an estimated five percent of annual revenues to fraud, totaling nearly $1 trillion in the U.S. alone. Cyber criminals are more organized and better equipped than ever, and continue to evolve their strategies in order to undermine even the strongest protections.
We continue to hear about major security breaches across all industries, but what is being done to fix the problem? There must be a tight interlock between risk, security, fraud and financial crimes management. Current solutions are proving inadequate as point solutions and a corporate silo mentality directly contribute to the risk of fraudulent activities going undetected.
Our webinar covered:
-How IBM’s Smarter Counter Fraud initiative can help public and private organizations prevent, identify and investigate fraudulent activities
-Real-world use cases including how one financial institution stopped $1M in fraud in the first week after implementing a counter-fraud solution
-Perficient’s multi-tiered approach to help guide successful business outcomes
It’s time to stop the bad guys with IBM Smarter Counter Fraud and Perficient – learn how now!
The business value of consumer analytics and big data is not just about what you can discover or infer about the consumer, but how you can use this insight promptly and effectively across multiple touchpoints (including e-Commerce systems and CRM) to create a powerful and truly personalized consumer experience.
For most organizations, mobilizing this kind of intelligence raises organizational challenges as well as technical ones.
This presentation reveals how some leading companies are starting to address these challenges, and describes the vital role of enterprise architecture in supporting such initiatives.
Enabling Success With Big Data - Driven Talent AcquisitionDavid Bernstein
Adopting an evidence-based recruitment marketing strategy is not just reserved for large employers. In fact, a targeted sourcing strategy can in some ways have a greater impact on small and mid-size businesses who need to allocate already-limited resources to the areas that will provide the most value. Ultimately, hiring the right candidate means profitability for your business. How can talent acquisition professionals gain the insights their organizations need to make better-informed decisions about their recruitment marketing efforts?
How we did it: BSI: Teradata Case of the Tainted LasagnaTeradata
Great Brands, a major food producer, faces yet another recall. The government is pointing at Turkey Broccoli Lasagna as the culprit, so the Chief Risk Officer and Chief Supply Chain officer bring in BSI investigators to help them build a better/faster track and trace system, using Big Data analytics.
To see more BSI: Teradata, go to http://www.facebook.com/bsiTeradata
Kickstart a Data Quality Strategy to Build Trust in Your DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
Linking Data Governance to Business GoalsPrecisely
The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations scale quickly and increased and increase customer loyalty.
Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.
In this on-demand webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
Analytics in Financial Services: Keynote Presentation for TDWI and NY Tech Co...Fitzgerald Analytics, Inc.
Keynote Presentation Given in New York City on March 30th, at a joint event of The Data Warehousing Institute (TDWI) and the New York Technology Council. This keynote presentation by Jaime Fitzgerald focused on "Bridging the Gap" between business goals in the data and analytic enablers of achieving these goals.
Improve policyholder relations by applying analytics to determine premiums & ...intellectseec
Overhaul your underwriting process using analytics -
Read this presentation by Tony Cid, Head of Commercial Insurance, Intellect SEEC which was presented at Insurance Analytics Canada Summit, 2016 to understand how analytics can enable a digital shift for underwriting.
Disruption in financial services GAMA ELC by Pranav Pasrichaintellectseec
Finanacial technology is being disrupted by non-traditional competition. Read how driverless cars, IOT, block-chain, social insurance, smart machines, artificial intelligence and Big Data will impact insurance
Key discussion points:
How do Claims and Underwriting typically relate? Why align Underwriting and Claim departments at Society? What changes did Society make and how? What impact did the change have on results?
Innovative Data Leveraging for Procurement AnalyticsTejari
This webinar will explore the types of problems and questions faced by procurement executives that can benefit most through the application of analytical solutions (e.g. innovation, strategic cost management, risk mitigation, etc.). In addition, we will cover the different forms of cognitive solutions that are emerging to drive real-time decision-making and predictive sourcing capabilities.
Know Your Market - Know Your Customer: What Web Data Reveals if You Know Wher...Connotate
In this presentation, Connotate will share expertise gained from years of experience extracting data from the Web and making it usable. Connotate’s experts will explain why certain Web data sources are easy to tap into, why others aren’t – what to consider when scoping out a project.
Are you getting the most out of your data?SAS Canada
Data is an organizations most valuable asset, but raw data by itself has little value. To drive data’s worth, it must be managed and processed to extract value and information that decision makers can leverage and turn into actionable insights. It is the ways in which a company choses to put that information to use that will determine the true value of its data.
Through business intelligence and business analytic tools, businesses are enabling themselves to make more strategic, accurate decisions, while optimizing business processes. Hear from Info-Tech Research Group and learn what you need to consider when choosing an analytics solution provider. The webinar will highlight Info-Tech Research Group’s recently published vendor landscape for selecting and implementing Business Intelligence and Business Analytics solutions. The report positions SAS as the only leader across all four categories of Enterprise BI, Mid-Market BI, Enterprise BA and Mid-Market BA.
Imperative of advanced analytics and ai in leadership excellenceEbuka David Obi
Data has a soul that needs to be learned. Advanced analytics exposes a lot of deeper data insight and gives us the power to predict the next occurrence with better accuracy.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
Joe DeSiena, President of Bardess Group Ltd moderated a panel of Information Technology executives titled Analytics and Business Intelligence for the chapter meeting for the New Jersey Society of Information Management.
2nd Big Data Business Forum Nov 13th to 15th, 2013 in San FranciscoMario Faria
The 2nd Big Data Business Forum will happen from November 13th to 15th, 2013 in San Francisco. This is one of the top data and analytics conferences of the year.
Data Science. Business Analytics is the statistical study of business data to gain insights. Data science is the study of data using statistics, algorithms and technology. Uses mostly structured data. Uses both structured and unstructured data.
Alternative Data is everywhere. We MUST start using them as a competitive edge over the competitors who are all looking to only their traditional data sources
Twitter Sentiment Analysis in 10 Minutes using Machine LearningSkyl.ai
About the webinar:
Social media is one of the richest sources of data for brands. According to Domo's 'Data never sleeps' report, every single minute 456,000 tweets are posted on Twitter, 46,740 photos are uploaded on Instagram and 510,000 comments & 293,000 statuses are updated on Facebook.
This data contains valuable information like product feedback or reviews and information that can be used to better understand users or find valuable insights. However, traditional ways struggle to analyze the unstructured data and this is where sentiment analysis using machine learning comes to the rescue!, Machine learning can help to understand the text and extract the sentiment using Natural Language Processing. Sentiment analysis can be applied in a range of business applications like - social media channel analysis, 360-degree customer insights, user reviews, competitive analysis, and many more.
What you will learn
- How businesses are leveraging sentiment analysis to their advantage
- Best practice to automate machine learning models in hours not months
- Demo: How to build a twitter sentiment analysis model
Big Data Tools PowerPoint Presentation SlidesSlideTeam
Enhance your audiences knowledge with this well researched complete deck. Showcase all the important features of the deck with perfect visuals. This deck comprises of total of twenty slides with each slide explained in detail. Each template comprises of professional diagrams and layouts. Our professional PowerPoint experts have also included icons, graphs and charts for your convenience. All you have to do is DOWNLOAD the deck. Make changes as per the requirement. Yes, these PPT slides are completely customizable. Edit the colour, text and font size. Add or delete the content from the slide. And leave your audience awestruck with the professionally designed Big Data Tools PowerPoint Presentation Slides complete deck. http://bit.ly/39AwSro
Learn more about a world beyond CRM suites and how your company can build the customer data technology stack that matches the reality of today’s multi-channel, digital era.
Start With Why: Build Product Progress with a Strong Data CultureAggregage
Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you.
Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.
Similar to Effective Commercial Underwriting using Big Data and Risk Analytics (20)
What price will pi network be listed on exchangesDOT TECH
The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
So if you are interested in selling your pi network coins at a high rate tho. Or you can't wait till the mainnet launch in 2026. You can easily trade your pi coins with a merchant.
A merchant is someone who buys pi coins from miners and resell them to Investors looking forward to hold massive quantities till mainnet launch.
I will leave the telegram contact of my personal pi vendor to trade with.
@Pi_vendor_247
How to get verified on Coinbase Account?_.docxBuy bitget
t's important to note that buying verified Coinbase accounts is not recommended and may violate Coinbase's terms of service. Instead of searching to "buy verified Coinbase accounts," follow the proper steps to verify your own account to ensure compliance and security.
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
Income Limits: Applicants must meet income guidelines, which vary by region and household size.
Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
Processing and Approval: The lender and USDA will review your application. If approved, you can proceed to closing.
USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
“In order for the U.S. economy to continue growing, whether there is another wave or not, the U.S. needs to focus on diversifying supply chains, supporting business investment, and maintaining consumer spending,” says Grace Feeley, a research analyst at M Capital Group.
While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
how to swap pi coins to foreign currency withdrawable.DOT TECH
As of my last update, Pi is still in the testing phase and is not tradable on any exchanges.
However, Pi Network has announced plans to launch its Testnet and Mainnet in the future, which may include listing Pi on exchanges.
The current method for selling pi coins involves exchanging them with a pi vendor who purchases pi coins for investment reasons.
If you want to sell your pi coins, reach out to a pi vendor and sell them to anyone looking to sell pi coins from any country around the globe.
Below is the contact information for my personal pi vendor.
Telegram: @Pi_vendor_247
What website can I sell pi coins securely.DOT TECH
Currently there are no website or exchange that allow buying or selling of pi coins..
But you can still easily sell pi coins, by reselling it to exchanges/crypto whales interested in holding thousands of pi coins before the mainnet launch.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and resell to these crypto whales and holders of pi..
This is because pi network is not doing any pre-sale. The only way exchanges can get pi is by buying from miners and pi merchants stands in between the miners and the exchanges.
How can I sell my pi coins?
Selling pi coins is really easy, but first you need to migrate to mainnet wallet before you can do that. I will leave the telegram contact of my personal pi merchant to trade with.
Tele-gram.
@Pi_vendor_247
when will pi network coin be available on crypto exchange.DOT TECH
There is no set date for when Pi coins will enter the market.
However, the developers are working hard to get them released as soon as possible.
Once they are available, users will be able to exchange other cryptocurrencies for Pi coins on designated exchanges.
But for now the only way to sell your pi coins is through verified pi vendor.
Here is the telegram contact of my personal pi vendor
@Pi_vendor_247
The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large new Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economy, we quantify the extent to which demographic changes over the last three decades have contributed to the decline of the unemployment rate. Our findings yield important implications for the future evolution of unemployment given the anticipated further aging of the working population in Europe. We also quantify the implications for optimal monetary policy: lowering inflation volatility becomes less costly in terms of GDP and unemployment volatility, which hints that optimal monetary policy may be more hawkish in an aging society. Finally, our results also propose a partial reversal of the European-US unemployment puzzle due to the fact that the share of young workers is expected to remain robust in the US.
Abhay Bhutada Leads Poonawalla Fincorp To Record Low NPA And Unprecedented Gr...Vighnesh Shashtri
Under the leadership of Abhay Bhutada, Poonawalla Fincorp has achieved record-low Non-Performing Assets (NPA) and witnessed unprecedented growth. Bhutada's strategic vision and effective management have significantly enhanced the company's financial health, showcasing a robust performance in the financial sector. This achievement underscores the company's resilience and ability to thrive in a competitive market, setting a new benchmark for operational excellence in the industry.
2. WHO IS THE
WRITER?
WHERE IS THE
DATA FROM?
What is so unusual about this?
CLUE: Is it not in the content
2
3. A quality first quarter earnings announcement could push shares of H.J. Heinz (HNZ) to a new 52-week
high as the price is just 49 cents off the milestone heading into the company’s earnings release on
Wednesday, August 29, 2012.
The Wall Street consensus is 80 cents per share, up 2.6% from a year ago when H.J reported earnings of
78 cents per share.
The consensus estimate remains unchanged over the past month, but it has decreased from three
months ago when it was 82 cents. Analysts are expecting earnings of $3.52 per share for the fiscal year.
Analysts project revenue to fall 0.3% year-over-year to $2.84 billion for the quarter, after being $2.85
billion a year ago. For the year, revenue is projected to roll in at $11.82 billion.
The company has seen steady earnings for the last eight quarters, but income has been sliding year-
over-year by an average of 7.3% over the last four quarters. The biggest drop came in the most recent
quarter, when profit dipped by 21.7%.
Most analysts think investors should stand pat on H.J, with eight of 16 analysts rating it hold. Analysts
have grown increasingly optimistic about the stock in the last three months. The stock price has
increased from $53.59 on May 29, 2012 to $55.51 over the past quarter.
"
Source: http://www.forbes.com/sites/narrativescience/2012/08/24/forbes-earnings-preview-h-j-heinz-3/ 3
4. WRITER=MACHINE,
DATA=PUBLIC
• The writer is a specialized Natural Language Generation Software
• The data is publically available
• It was “written” over 2.5 years ago!
- Natural Language Generation has progressed since then.
4
5. AGENDA
1. Concepts – “Big Data” approach
2. Processes – Comparing traditional to Big Data
3. People – Getting the right skills and experience
4. Technology – What are the choices and what to consider?
5
7. *Includes machine learning and deep learning
Descriptive Analytics
What is happening
Confirm
Hindsight
Analytical
Technique
Outcome
Process
Traditional Approach
Form
Theory
Observe
Data
Diagnostic Analytics
Why did it happen
Predictive Analytics
What is likely to
happen
Form
Theory
Foresight
Big Data Approach
Observe
Data
*Identify
Pattern
Prescriptive Analytics
What should I do
about it
7
9. Traditional Approach Big Data Approach
Volume
Fewer sources – just store everything we need
to make the decisions of today
Large number of sources – store everything for the
questions and decisions you are yet to think of
Velocity Managed changes done infrequently Changes done constantly – crowd sourced
Variety Structured – internal/external Structured – internal/external, Unstructured – external
Veracity
Source Level – e.g. this is the
“source of truth” for FTE, perils, crime etc.
Data Level – e.g. number of sources of FTE data with
certainty scores for each
Feedback
Manual cleansing from fewer people –
scholarly “encyclopedia approach”
Crowd sourced or via machine learning algorithms –
“Wikipedia Approach”
Visualizing Graphs, tables, one way reports Alerts, graphs, interactive applications
Examples
Policies, Quote, Claims, Billing
RiskMeter, D&B, Pitney Bowes, Lexis Nexis,
Verisk
All of traditional data + LinkedIn company profile,
Facebook, Twitter, Yahoo BOSS, Google Search,
Urbanspoon, Yelp, Glassdoor
9
11. Traditional Approach
• Subjective
• Non-auditable, paper based
• Time consuming
• Ineffective
• No learning
Big Data Approach
• Objective
• Auditable, electronic
• Fast
• Effective
• Learning
Underwriters
manually enter
multiple queries to
search dozens of
sources
to begin the
diligence process
30-60 min 30-60 min 16 min 30 min 20 min 20 min
OFAC
PEP
RCA
Media
Internet
SEARCH AGGREGATE SELECT REVIEW RATE QUOTE
Low Value High Value
Underwriters
compile content
associated with
the subject of
investigation
Underwriters
subjectively select
which associated
information to
review, articles to
read, etc
Underwriters read
articles and learn
about the subject
of investigation,
Identifying
potential
risk associated
with the subject
Underwriters
designate certain
Information /
findings
as risky based on
their review
and draw
risk-based
conclusion about
the subject
Underwriters
report
on their findings
using document
templates and
boiler
plate language
Culling internet
search results
Misspelled
names
Subjective
decision
making
necessarily
results in
incomplete
reviews
>70% of Underwriting Time <30% of Underwriting Time
30 min 10 min <1 min
<5% of UnderwritingTime <95% of UnderwritingTime
10 min
SEARCH AGGREGATE SELECT REVIEW RATE QUOTE
Underwriters
designate certain
information/
findings
as risky based on
their review
and draw
risk-based
conclusion about
the subject
Underwriters read
articles and learn
about the subject
of investigation,
identifying
potential
risk associated
with the subject
OFAC
PEP
RCA
Media
Internet
Culling internet
search results
Misspelled
names
Subjective
decision
Making
necessarily
results in
incomplete
reviews
Low Value High Value
Configurable
report
Generation
and
Integration
11
13. SEARCH AGGREGATE SELECT REVIEW RATE QUOTE
Media
Structured Data
Unstructured Data
internet
Universeofavailableinformation
Red flags
missed due
to human
limitations
13
15. Traditional Approach Big Data Approach
Hypothesis If I get a view of all the drivers, all the trucks
and all the equipment hauled, I will have the
right information to underwrite and
eventually rate.
Fatigue is the leading cause of fatal crashes for long haul
trucks. Vibrations transmitted from engine beneath the
seat is the main reason for this. Preventing fatigue is the
key to a lower loss ratio and improved driver safety.
Leading
Questions
1. Have you ever been declined or had your
insurance coverage cancelled or non-
renewed in the past three years?
2. Is there a vehicle maintenance program
in operation?
3. Does the applicant obtain MVR?
1. Have you ever been declined or had your insurance
coverage cancelled or non-renewed in the past three
years?
2. Are all trucks fitted with seat dampeners?
3. Does the applicant obtain MVR verification on drivers?
Outcomes Dismiss good risk and missed chance to
institute loss prevention programs
Uncover good risk and drive good risk management within
clients
A lot of manufacturers publish the vibration data for the type of trucks. With big data search you can
actually get this once you know the vehicle schedule!!!
15
17. Traditional Approach Big Data Approach
Skills Actuarial, Business Analysis, Accounting,
Defining Data, Defining Data Relationships
Natural Language Processing, Artificial
Intelligence, Software Engineering, Search,
Experimenting with Data
Experience Common to find with 10+ years in insurance Rare to find professional with more than 3
years of experience
17
BI / EDW Professional Data Scientist
18. BIG DATA TOOLS
ARE MATURING -
THE TIME IS RIGHT
TO EXPERIMENT
Tools that were traditionally IT related are now available to mainstream business
users – remember making webpage used to be an IT job!
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19. Traditional Approach Big Data Approach
Statistical
Packages
R, Julia, Matlab Is your team based on a statistical background or IT/data
science background?
Databases Hbase, Cassandra, MongoDB,
Google BigTable
Are you looking at transaction (Billing) vs. documents
(Underwriting)
Do you want it real time?
Do want it in-premise or in the cloud?
Do you want to pay licenses or maintenance?
Languages* Pig, Hive Is your team familiar with SQL (working with databases) or
writing procedural (Excel Macros)?
Visualization Pentaho, Tableau, Google Do want it in-premise or in the Cloud?
Do you have a insurance DWH?
How structured is your data?
Do you want to geo-overlays?
* Assume Hadoop/ HDFS has been installed
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22. KEY
LEARNINGS
• Big Data means re-thinking your approach to data processing
- You may only know about a part of the problem you will solve up front
- The data may show additional problems and answers
• Re-look at how and when data is used in the underwriting process
- With Big Data tools you can speed up and uncover additional risks
• Are you asking the right underwriting questions?
- Ask less and more pertinent questions and pre-fill information
• Look outside of insurance to build your Big Data team
• The technology is evolving rapidly – start experimenting early before
the competition gets far too ahead
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