The document describes QuanTemplate, a data management platform tailored for insurance and reinsurance companies. It allows users to structure data from various sources without coding, features transformations and real-time previews, and can collaboratively connect and cleanse datasets. The platform is scalable, flexible and non-invasive, and delivers a federated data model to connect enterprise systems.
Transcendent’sPortfolio Management & Analysis provides a complete solution to the risks associated with credit receivables. Using an in-house, proprietary system, the client receives a comprehensive set of reports with specific recommendations on all aspects of the portfolio. These reports feature highly sophisticated segmentation and analysis, akin to what is used in the world’s largest providers of financial services. In addition, to processing data into a variety of charts and graphs, Transcendent provides highlighted insights derived from the data and detailed action items.
Transcendent’sPortfolio Management & Analysis provides a complete solution to the risks associated with credit receivables. Using an in-house, proprietary system, the client receives a comprehensive set of reports with specific recommendations on all aspects of the portfolio. These reports feature highly sophisticated segmentation and analysis, akin to what is used in the world’s largest providers of financial services. In addition, to processing data into a variety of charts and graphs, Transcendent provides highlighted insights derived from the data and detailed action items.
Check out how big data is proving invaluable to finance. Here is the top 10 big data trends in finance. Big data place a vital role in analysing the feeds, Predictive models, forecasts & assess trading impacts
Enterprise Data World Webinar: Make BIG DATA Work for YouDATAVERSITY
TARGIT CTO Dr. Morton Middelfart has professionally devoted himself to one thing: turning DECISIONS into ACTION faster, more efficiently, and more intelligently than ever. He continues to develop patented features that zero in on solving the challenges that companies face every day. One of those challenges is harnessing the massive amounts of external data relevant to your company. Big data is … well … big. And companies that don’t learn from it and adapt will be quickly left in the dust. Join Morton for his session “Make BIG DATA work for you” and discover how to get the most out of your big data through Business Intelligence.
What you’ll learn:
- Why external data is increasingly important to today’s businesses
- Exciting new technologies developed to help you make sense of the growing amount of Big Data
- How to measure and monitor consumers’ sentiments about your company
- What your external data says about your internal data
- What you need to take action to constantly stay ahead of the curve
This presentation is based on the article Simplify Your Analytics Strategy by Narendra Mulani.I have made this presentation
as a part of my data internship course
In my talk I am going to share with the audience a practical experience of using BI solutions for steering bank credit portfolios, make data actionable, communicate and collaborate on that data with relevant stakeholders. In our case, we have aimed for a solution that can use data-models based on Claud and on-premise, easily communicate and share information within the organization and keep track of that information flow. In addition, we want our solution to support various datasets and to have the flexibility of integrating the most popular DS languages – R and Python for the convenience and flexibility of our data science team. Our solution is based on Power BI plus the use of Azure Analytical Service and R.
Checklist To See If Your Current Data Strategy Is OutdatedPromptCloud
If your data strategy isn’t successful in fetching you leads, profits, or successful deals, you are surely on the wrong track. Here are some checkpoints to help you identify the issues.
The slides explain the big data in insurance industry and how it is used as a tool to collect information and find out the fraud activities in the insurance industry.
Presented at Bethesda Data Science Meetup October 2019
Chris Conlan shares his perspective on when and how data science methods ought to be applied in financial services organizations.
Seminar on Big Data : Current Trends and Technology Landscape
Event Details:
Introduction to Big Data - Bijilash Babu, EY. (10:00 AM - 10:40 AM)
What is Big Data?
Why is it relevant?
Leveraging value from Big Data
Big Data Analytics
A Data-driven world
Check out how big data is proving invaluable to finance. Here is the top 10 big data trends in finance. Big data place a vital role in analysing the feeds, Predictive models, forecasts & assess trading impacts
Enterprise Data World Webinar: Make BIG DATA Work for YouDATAVERSITY
TARGIT CTO Dr. Morton Middelfart has professionally devoted himself to one thing: turning DECISIONS into ACTION faster, more efficiently, and more intelligently than ever. He continues to develop patented features that zero in on solving the challenges that companies face every day. One of those challenges is harnessing the massive amounts of external data relevant to your company. Big data is … well … big. And companies that don’t learn from it and adapt will be quickly left in the dust. Join Morton for his session “Make BIG DATA work for you” and discover how to get the most out of your big data through Business Intelligence.
What you’ll learn:
- Why external data is increasingly important to today’s businesses
- Exciting new technologies developed to help you make sense of the growing amount of Big Data
- How to measure and monitor consumers’ sentiments about your company
- What your external data says about your internal data
- What you need to take action to constantly stay ahead of the curve
This presentation is based on the article Simplify Your Analytics Strategy by Narendra Mulani.I have made this presentation
as a part of my data internship course
In my talk I am going to share with the audience a practical experience of using BI solutions for steering bank credit portfolios, make data actionable, communicate and collaborate on that data with relevant stakeholders. In our case, we have aimed for a solution that can use data-models based on Claud and on-premise, easily communicate and share information within the organization and keep track of that information flow. In addition, we want our solution to support various datasets and to have the flexibility of integrating the most popular DS languages – R and Python for the convenience and flexibility of our data science team. Our solution is based on Power BI plus the use of Azure Analytical Service and R.
Checklist To See If Your Current Data Strategy Is OutdatedPromptCloud
If your data strategy isn’t successful in fetching you leads, profits, or successful deals, you are surely on the wrong track. Here are some checkpoints to help you identify the issues.
The slides explain the big data in insurance industry and how it is used as a tool to collect information and find out the fraud activities in the insurance industry.
Presented at Bethesda Data Science Meetup October 2019
Chris Conlan shares his perspective on when and how data science methods ought to be applied in financial services organizations.
Seminar on Big Data : Current Trends and Technology Landscape
Event Details:
Introduction to Big Data - Bijilash Babu, EY. (10:00 AM - 10:40 AM)
What is Big Data?
Why is it relevant?
Leveraging value from Big Data
Big Data Analytics
A Data-driven world
Slow Data Kills Business eBook - Improve the Customer ExperienceInterSystems
We live in an era where customer experience trumps product features and functions. How do you exceed customer’s expectations every time they interact with your organization? By leveraging more information and applying insights you have learned over time. Turning data-driven power into delightful experiences will give you the advantages required to succeed in today’s climate of one-click shopping and crowd-sourced feedback. Whether you are a retailer, a banker, a care provider, or a policy maker, your organization must harness the power of growing data volumes, data types, and data sources to foster experiences that matter.
Cloudy with a Chance of Impact_ A Guide to Moving Nonprofits to the Cloud.pdfHumanataSEO
Have you ever wished for a magic solution that could streamline your nonprofit’s operations, improve data management, and increase your impact?
The good news is that moving to the cloud could be just the solution you’re looking for.
Data Science Software Application Development Services IT Services.pdf.pdfContata Solutions
Contata Solutions, founded in 2000, is a Data Science Service provider & Software Application Development company headquartered in Minneapolis, US with 5 offices including offshore centers in India. We have a Software Engineering Group based in the Delhi-NCR region, India; a back-office support group based in Nagpur & Indore, India; and a sales office in Stockholm, Sweden.
Data Science Software Application Development Services IT Services.pdf.pdfContata Solutions
Contata Solutions, founded in 2000, is a Data Science Service provider & Software Application Development company headquartered in Minneapolis, US with 5 offices including offshore centers in India. We have a Software Engineering Group based in the Delhi-NCR region, India; a back-office support group based in Nagpur & Indore, India; and a sales office in Stockholm, Sweden.
Gluon Consulting - Specialized Software Development for FinanceDennis Cabarroguis
Gluon offers specialized software development and consultancy services for fintechs and financial services SMEs.
Our unique delivery model combines London based analysis, project management and QA with delivery from our team of talented developers in the Philippines.
Results, service and care levels are those you would expect from the best front-office tech teams in London, New York and Silicon Valley. Costs? Refreshingly close to your average total outsourcing initiative, but without the risk and the hassle.
OVER 40 YEARS OF EXPERIENCE IN LONDON
Our core team members are veteran software consultants and enterprise architects with a combined 40 years of experience writing high-performance, robust and scalable software for some of the world's largest financial organizations and independent technology providers.
TECH BEFORE FINTECH
In our journeys, we built trading and portfolio analytics platforms, distributed and parallel calculation and workflow engines, high volume messaging middleware, dashboards with advanced interaction and visualization features. We did numerical and statistical computing, machine learning and semantic processing.
We produced real-time, interactive scenario analysis for one of the most profitable trading desks on the planet. We helped e-commerce and brokerage companies to scale their operations without breaking a sweat. We contributed to pioneering robotics and field automation platforms before IoT and event streams were cool.
For more info, please contact
Dennis Cabarroguis
dennis.cabarroguis@gluonconsulting.com
Next generation semantic technologies help individuals and businesses develop semantic superpowers. That is how we break the chains of legacy systems, free resources from maintenance, and innovate the new capabilities we need to thrive in the next Internet. Learn what semantic superpowers can do for you.
Data analytics tools help organizations derive insights from vast amounts of data, enabling informed decision-making, identifying trends and patterns, personalizing customer experiences, optimizing processes, and driving innovation and competitive advantage.
The OpenText™ AppWorks™ Platform is the ideal solution to build new business applications and new business processes faster and in a simplified way. The solution leverages prior investments in enterprise software and legacy systems to bring together all existing IT assets and empowers the organization with the ability to monitor the entire enterprise under one platform.
AnalytiX DS specializes in the development of ‘agile tools’ for the data integration industry which automate manual data mapping and ETL conversion processes.
Modernize your Infrastructure and Mobilize Your DataPrecisely
Modernizing your infrastructure can get complicated really fast. The keys to success involve breaking down data silos and moving data to the cloud in real time. But building data pipelines to mobilize your data in the cloud can be time consuming. You need solutions that decrease bandwidth, ensure data consistency, and enable data migration and replication in real-time; solutions that help you build data pipelines in hours, not days.
Watch this on-demand webinar to learn about the trends and pitfalls related to modernizing your infrastructure to cloud, how the pace of on-prem data growth demands accelerating data streaming to analytics platforms, and why mobilizing your data for the cloud improves business outcomes.
Data analytics software and business intelligence reporting tool inzataInzata1
Inzata is one of the top data analysis companies based in the US provides Data Analysis Tools, Data Preparation, Data Modeling, Data Visualization, Services.
They serve customers across small, Mid-size and Enterprise segments-ranging from $50M to $50B in size-in multiple industries.
Services include: End-to-end implementations, managed services, project management, training, integrations with enterprise systems, and business process re-engineering.
Top 10 guidelines for deploying modern data architecture for the data driven ...LindaWatson19
Enterprises are facing a new revolution, powered by the rapid adoption of data analytics with modern technologies like machine learning and artificial intelligence (A).
Top 10 guidelines for deploying modern data architecture for the data driven ...
QuanTemplate-data-managment
1. Any source type
xls, xml, tsv, csv, json and more.
Whatever the state of your source,
QuanTemplate can help you
structure the data.
No coding required
Intuitive user interface allows
you to rapidly get your data to
the people in your business who
understand it the best.
Transformations
All the transformations you need:
joins, unions, cleansing, mapping
and more. We work closely with
our clients, building the library
of transformations to meet their
data needs.
Real-time previews
Find the right transformations: an
exploratory workspace and real time
previews allow you to progressively
add and test transformations until
you get the results you expect.
The QuanTemplate platform is specifically tailored to
the day-to-day needs of insurance and re/insurance
companies, putting the tools to manage data into the
hands of the people who best understand it.
Data Management
Collaboratively connect and
cleanse your datasets to enhance
the value of your data
2. Data Management
quantemplate.com
Enterprise data warehouse
Grows with your business
QuanTemplate infrastructure is
infinitely scalable, flexible and
non-invasive – whether adding
new classes of business, growing
into new territories, or performing
an acquisition, you don’t need
to remove your existing system
architecture as QuanTemplate sits
on top. QuanTemplate gives you
the flexibility to grow, without the
technology growing pains.
Full granularity
Joining, cleansing and augmenting
the underwriting data gives you the
power to slice-and-dice your book
right down to individual policies.
Actuarial Modelling
Policy
Admin.
Asset
Management
Treasury
Management
Market Data General Ledger
Banking
fx
data
exposure
data
treasury
data
modelling
data
solvency ii
data
financial
data
Bordereaux
Financial
Reporting
Regulatory
Reporting
Investment
Reporting
Expert advice
We’ve helped some of the best and
brightest names in insurance to
connect their datasets. Our team
of re/insurance experts and data
scientists are here to advise on the
most effective ways to construct
your pipelines and start getting
insights from your data.
All under your control
Manage your data directly and
collaboratively as it evolves,
through a feature rich interface.
Delivering the power and flexibility of a federated
data model, the QuanTemplate platform connects the
full workflow of enterprise systems. Implementation
is modular and tailored to the unique specifications
of your systems landscape.