With the combination of Pentaho and MongoDB, it’s drastically simpler and faster to build single analytical views of clients by aggregating and blending data from a variety of internal sources (customer, transaction, position data) and external sources (social networking, central bank, news, pricing) with fast response times.
Webinar covers:
An insider’s view of new ways financial services companies are using MongoDB to rapidly store and consume unlimited shapes and sizes of data
How Pentaho makes it easy to enrich data in MongoDB with predictive scoring, visual data integration tools, reports, interactive dashboards, and data visualizations
A live demo of blending Twitter, equity pricing, and news data into a single analytical view that unlocks market intelligence to create investment opportunities
Succeeding with Analytics: Mastering People, Process, and Technologyibi
Wayne Eckerson and Dr. Rado Kotorov take a journey through the behind-the-scenes characteristics of a great analytics program in this Information Builders Innovation Session presentation.
Claudia Imhoff of the Boulder BI Brain Trust gives the lowdown on integrating real-time data to leverage modern BI practices for your business in this Information Builders Innovation Session presentation.
Accelerate your Queries with Data VirtualizationDenodo
Watch here: https://bit.ly/2BiNVlU
Denodo 8 builds on its outstanding performance features to include query acceleration capabilities. Denodo’s new engine is able to accelerate execution through an automatic query-rewriting process that identifies pre-calculated summaries that can be used to reduce execution time. As a result, end users and reporting tools don’t have to change their queries, while the execution times can be 100x faster in analytical scenarios.
Attend this session to learn:
- How this new functionality works
- Use cases and scenarios that can take advantage of it
- See it action with a product demo
The Evolution of Data and New Opportunities for AnalyticsSAS Canada
BIG DATA IS EVERYWHERE!
Today we produce around five Exabyte every two days … and this is accelerating.
The intelligent devices, what we call the internet of things, promise to be the next big explosion.
Explore evolution of data and new opportunities for analytics.
www.sas.com
Data is being generated at a feverish pace and forward thinking companies are integrating big data and analytics as part of their core strategy from day one. However, it is often hard to sift through the hype around big data and many companies start with only a small subset of data. Can smaller companies benefit from big data efforts? We will discuss several use cases and examples of how startups are using data to optimize their operations, connect with their users, and expand their market.
With the combination of Pentaho and MongoDB, it’s drastically simpler and faster to build single analytical views of clients by aggregating and blending data from a variety of internal sources (customer, transaction, position data) and external sources (social networking, central bank, news, pricing) with fast response times.
Webinar covers:
An insider’s view of new ways financial services companies are using MongoDB to rapidly store and consume unlimited shapes and sizes of data
How Pentaho makes it easy to enrich data in MongoDB with predictive scoring, visual data integration tools, reports, interactive dashboards, and data visualizations
A live demo of blending Twitter, equity pricing, and news data into a single analytical view that unlocks market intelligence to create investment opportunities
Succeeding with Analytics: Mastering People, Process, and Technologyibi
Wayne Eckerson and Dr. Rado Kotorov take a journey through the behind-the-scenes characteristics of a great analytics program in this Information Builders Innovation Session presentation.
Claudia Imhoff of the Boulder BI Brain Trust gives the lowdown on integrating real-time data to leverage modern BI practices for your business in this Information Builders Innovation Session presentation.
Accelerate your Queries with Data VirtualizationDenodo
Watch here: https://bit.ly/2BiNVlU
Denodo 8 builds on its outstanding performance features to include query acceleration capabilities. Denodo’s new engine is able to accelerate execution through an automatic query-rewriting process that identifies pre-calculated summaries that can be used to reduce execution time. As a result, end users and reporting tools don’t have to change their queries, while the execution times can be 100x faster in analytical scenarios.
Attend this session to learn:
- How this new functionality works
- Use cases and scenarios that can take advantage of it
- See it action with a product demo
The Evolution of Data and New Opportunities for AnalyticsSAS Canada
BIG DATA IS EVERYWHERE!
Today we produce around five Exabyte every two days … and this is accelerating.
The intelligent devices, what we call the internet of things, promise to be the next big explosion.
Explore evolution of data and new opportunities for analytics.
www.sas.com
Data is being generated at a feverish pace and forward thinking companies are integrating big data and analytics as part of their core strategy from day one. However, it is often hard to sift through the hype around big data and many companies start with only a small subset of data. Can smaller companies benefit from big data efforts? We will discuss several use cases and examples of how startups are using data to optimize their operations, connect with their users, and expand their market.
This was presented at SAS Visual Analytics Event on May 15, 2013 in Chennai. This presentation discussed on how SAS Visual Analytics can empower your organisation in gaining valuable insights from your data in the shortest amount of time.
The path to a Modern Data Architecture in Financial ServicesHortonworks
Delivering Data-Driven Applications at the Speed of Business: Global Banking AML use case.
Chief Data Officers in financial services have unique challenges: they need to establish an effective data ecosystem under strict governance and regulatory requirements. They need to build the data-driven applications that enable risk and compliance initiatives to run efficiently. In this webinar, we will discuss the case of a global banking leader and the anti-money laundering solution they built on the data lake. With a single platform to aggregate structured and unstructured information essential to determine and document AML case disposition, they reduced mean time for case resolution by 75%. They have a roadmap for building over 150 data-driven applications on the same search-based data discovery platform so they can mitigate risks and seize opportunities, at the speed of business.
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
TIS Workshop "BearingPoint – Our Business Case for Smart Payments and Better Decisions" (English)
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The fourth industrial revolution is in full swing, innovative business models are
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Speedy Processing of business data at Edelweiss Capital with 1KEY BI - Case S...Dhiren Gala
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Improving Technology in the Treasury Management Systemijtsrd
Treasury management is one of the areas of public financial management PFM that has most improved over the last 20 years at the international level, when measured in terms of incorporating new practices and expanding the use of information technology. One of the biggest challenges facing today’s treasurers is identifying and implementing the most appropriate technology solution to meet their organizations’ needs. As in many spheres, the range of technology available treasurers has become increasingly sophisticated in recent years. Levels of functionality that were unimaginable a few years ago are now standard. As a result, understanding the most appropriate options for a treasury has become significantly more difficult. Navruzova Go’zal Olimjon Qizi | Saidov Rasulbek Boltaboevich "Improving Technology in the Treasury Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-1 , December 2021, URL: https://www.ijtsrd.com/papers/ijtsrd48059.pdf Paper URL: https://www.ijtsrd.com/management/other/48059/improving-technology-in-the-treasury-management-system/navruzova-go’zal-olimjon-qizi
How Analytics Has Changed in the Last 10 Years (and How It’s Staye.docxpooleavelina
How Analytics Has Changed in the Last 10 Years (and How It’s Stayed the Same)
· Thomas H. Davenport
June 22, 2017
· Summary
· Save
· Share
· Comment
· Print
· 8.95Buy Copies
Recommended
·
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Ten years ago, Jeanne Harris and I published the book Competing on Analytics, and we’ve just finished updating it for publication in September. One major reason for the update is that analytical technology has changed dramatically over the last decade; the sections we wrote on those topics have become woefully out of date. So revising our book offered us a chance to take stock of 10 years of change in analytics.
Of course, not everything is different. Some technologies from a decade ago are still in broad use, and I’ll describe them here too. There has been even more stability in analytical leadership, change management, and culture, and in many cases those remain the toughest problems to address. But we’re here to talk about technology. Here’s a brief summary of what’s changed in the past decade.
The last decade, of course, was the era of big data. New data sources such as online clickstreams required a variety of new hardware offerings on premise and in the cloud, primarily involving distributed computing — spreading analytical calculations across multiple commodity servers — or specialized data appliances. Such machines often analyze data “in memory,” which can dramatically accelerate times-to-answer. Cloud-based analytics made it possible for organizations to acquire massive amounts of computing power for short periods at low cost. Even small businesses could get in on the act, and big companies began using these tools not just for big data but also for traditional small, structured data.
Insight Center
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Analytics are critical to companies’ performance.
Along with the hardware advances, the need to store and process big data in new ways led to a whole constellation of open source software, such as Hadoop and scripting languages. Hadoop is used to store and do basic processing on big data, and it’s typically more than an order of magnitude cheaper than a data warehouse for similar volumes of data. Today many organizations are employing Hadoop-based data lakes to store different types of data in their original formats until they need to be structured and analyzed.
Since much of big data is relatively unstructured, data scientists created ways to make it structured and ready for statistical analysis, with new (and old) scripting languages like Pig, Hive, and Python. More-specialized open source tools, such as Spark for streaming data and R for statistics, have also gained substantial popularity. The process of acquiring and using open source software is a major change in itself for established busines ...
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Solutions Catalog # 3 by ISIS Papyrus Software
Learn More about successful Customer Implement
in various Industries and how the Papyrus Platform for
Inbound and Outbound Business Communication and
Process Management will make your organization
more flexible, efficient and responsive to customer needs.
Consumers will increasingly expect retailers to offer highly customized buying recommendations at the right time through the right device.
Being able to follow these through with seamless and secure e-commerce transactions.
The potential of Data blending in every area from automotive telemetry to medical science to national security is enormous.
Handelsbanken Takes Control of Identity Management with NetIQNetIQ
Handelsbanken is one of the largest banks in the Nordic region, with over 10,500 employees. According to a recent study by management consultants Arthur D. Little, Handelsbanken is the third most cost-effective bank in Europe.
As a company operating in the financial sector, Handelsbanken is subject to a variety of financial regulations such as Basel III. As a result, it is important for the bank to keep tight control over its internal processes, particularly its IT systems.
Read more here: https://www.netiq.com/success/stories/handelsbanken.html
This was presented at SAS Visual Analytics Event on May 15, 2013 in Chennai. This presentation discussed on how SAS Visual Analytics can empower your organisation in gaining valuable insights from your data in the shortest amount of time.
The path to a Modern Data Architecture in Financial ServicesHortonworks
Delivering Data-Driven Applications at the Speed of Business: Global Banking AML use case.
Chief Data Officers in financial services have unique challenges: they need to establish an effective data ecosystem under strict governance and regulatory requirements. They need to build the data-driven applications that enable risk and compliance initiatives to run efficiently. In this webinar, we will discuss the case of a global banking leader and the anti-money laundering solution they built on the data lake. With a single platform to aggregate structured and unstructured information essential to determine and document AML case disposition, they reduced mean time for case resolution by 75%. They have a roadmap for building over 150 data-driven applications on the same search-based data discovery platform so they can mitigate risks and seize opportunities, at the speed of business.
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
TIS Workshop "BearingPoint – Our Business Case for Smart Payments and Better Decisions" (English)
Speaker: Eveline Stam, Head of Treasury, BearingPoint
Industry 4.0 - with private equity into a new eraBVK
The fourth industrial revolution is in full swing, innovative business models are
emerging.Private equity firms make excellent partners for turning these opportunities into business ideas
with viable future prospects. In this brochure you will find some examples of successful private equity funded comapnies.
Speedy Processing of business data at Edelweiss Capital with 1KEY BI - Case S...Dhiren Gala
The MAIA Intelligence's 1KEY BI provides the Edelweiss Group with a single view of enterprise-wide data and delivers a scalable and extendible financial data model, which helps in making faster decisions.
By Akhtar pasha
Improving Technology in the Treasury Management Systemijtsrd
Treasury management is one of the areas of public financial management PFM that has most improved over the last 20 years at the international level, when measured in terms of incorporating new practices and expanding the use of information technology. One of the biggest challenges facing today’s treasurers is identifying and implementing the most appropriate technology solution to meet their organizations’ needs. As in many spheres, the range of technology available treasurers has become increasingly sophisticated in recent years. Levels of functionality that were unimaginable a few years ago are now standard. As a result, understanding the most appropriate options for a treasury has become significantly more difficult. Navruzova Go’zal Olimjon Qizi | Saidov Rasulbek Boltaboevich "Improving Technology in the Treasury Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-1 , December 2021, URL: https://www.ijtsrd.com/papers/ijtsrd48059.pdf Paper URL: https://www.ijtsrd.com/management/other/48059/improving-technology-in-the-treasury-management-system/navruzova-go’zal-olimjon-qizi
How Analytics Has Changed in the Last 10 Years (and How It’s Staye.docxpooleavelina
How Analytics Has Changed in the Last 10 Years (and How It’s Stayed the Same)
· Thomas H. Davenport
June 22, 2017
· Summary
· Save
· Share
· Comment
· Print
· 8.95Buy Copies
Recommended
·
Blockchain: Tools for Preparing Your Team for the Future
Book
49.95 View Details
·
Clean Edge Razor: Splitting Hairs in Product Positioning
HBS Brief Case
8.95 View Details
·
Deutsche Allgemeinversicherung
Photo by Ferdinand Stöhr
Ten years ago, Jeanne Harris and I published the book Competing on Analytics, and we’ve just finished updating it for publication in September. One major reason for the update is that analytical technology has changed dramatically over the last decade; the sections we wrote on those topics have become woefully out of date. So revising our book offered us a chance to take stock of 10 years of change in analytics.
Of course, not everything is different. Some technologies from a decade ago are still in broad use, and I’ll describe them here too. There has been even more stability in analytical leadership, change management, and culture, and in many cases those remain the toughest problems to address. But we’re here to talk about technology. Here’s a brief summary of what’s changed in the past decade.
The last decade, of course, was the era of big data. New data sources such as online clickstreams required a variety of new hardware offerings on premise and in the cloud, primarily involving distributed computing — spreading analytical calculations across multiple commodity servers — or specialized data appliances. Such machines often analyze data “in memory,” which can dramatically accelerate times-to-answer. Cloud-based analytics made it possible for organizations to acquire massive amounts of computing power for short periods at low cost. Even small businesses could get in on the act, and big companies began using these tools not just for big data but also for traditional small, structured data.
Insight Center
· Putting Data to Work
Analytics are critical to companies’ performance.
Along with the hardware advances, the need to store and process big data in new ways led to a whole constellation of open source software, such as Hadoop and scripting languages. Hadoop is used to store and do basic processing on big data, and it’s typically more than an order of magnitude cheaper than a data warehouse for similar volumes of data. Today many organizations are employing Hadoop-based data lakes to store different types of data in their original formats until they need to be structured and analyzed.
Since much of big data is relatively unstructured, data scientists created ways to make it structured and ready for statistical analysis, with new (and old) scripting languages like Pig, Hive, and Python. More-specialized open source tools, such as Spark for streaming data and R for statistics, have also gained substantial popularity. The process of acquiring and using open source software is a major change in itself for established busines ...
Insurtech and RegTech - drivers, taxonomy, companies in Sweden and beyondMichalGromek
Preliminary findings from the upcoming report about Insurtech and RegTech presented at the Future of banking conference, Finextra in Stockholm on November 16th 2017, performed together with Magnus Krusberg from PIA consulting
Flytxt a unique success story in big data analyticsFlytxt
An exclusive interview with Dr.Vinod Vasudevan, Group CEO, Flytxt at European Communication magazine. He talks about Flytxt’s solutions, proven technology, impact-driven customer engagement and expansion plans.
Solutions Catalog # 3 by ISIS Papyrus Software
Learn More about successful Customer Implement
in various Industries and how the Papyrus Platform for
Inbound and Outbound Business Communication and
Process Management will make your organization
more flexible, efficient and responsive to customer needs.
Consumers will increasingly expect retailers to offer highly customized buying recommendations at the right time through the right device.
Being able to follow these through with seamless and secure e-commerce transactions.
The potential of Data blending in every area from automotive telemetry to medical science to national security is enormous.
Handelsbanken Takes Control of Identity Management with NetIQNetIQ
Handelsbanken is one of the largest banks in the Nordic region, with over 10,500 employees. According to a recent study by management consultants Arthur D. Little, Handelsbanken is the third most cost-effective bank in Europe.
As a company operating in the financial sector, Handelsbanken is subject to a variety of financial regulations such as Basel III. As a result, it is important for the bank to keep tight control over its internal processes, particularly its IT systems.
Read more here: https://www.netiq.com/success/stories/handelsbanken.html
Abas business software big erp solution for small businesses (en)Muresan Rares
ERP software for manufacturers
abas Manufacturing provides the tools you need as a manufacturer to optimize your business processes — from make-to-order and make-to-stock to series and mass production.
Caronne.eu 3rd presentation at 17th nov 2014 meetup FinTech Startups FranceJames Nacass
Caronne reveals the power of your data.Here is the presentation of Caronne, the Dutch startup which present in third position at Fin'Tech Startups Meetup in Paris on 17th of Nov 2014
Similar to Australian Securitisation Journal Article - December 2015 (20)
Caronne.eu 3rd presentation at 17th nov 2014 meetup FinTech Startups France
Australian Securitisation Journal Article - December 2015
1. 28 · Australian Securitisation Journal | Issue 09_2016
co-published
feature
In an environment in which integrity of data
and detailed reporting is becoming ever more
important, a relatively new entrant to the
Australian market says it can simplify and
enhance users’ securitisation processes. TXS,
as the German market leader for covered-
bond and securitisation software, believes
SAP Funding Management can assist
many Australian users.
TXStostreamline
securitiserexperience
increasingly concerned about the risk inherent in relying on
such legacy systems.
“SAP Funding Management is very much a one-stop, real-
time solution, eliminating the need for multiple systems,”
Peeters says. “It is audit compliant and driven by automated
processing with little need for manual intervention. It also has
the ability to archive transaction data that can be recalled at
any point in time.”
In an environment in which the provision of useful
data is becoming a greater focus of many if not most
participants in the securitisation market, Peeters says SAP
Funding Management can also help further engagement
with investors among others. The software can generate
and produce a variety of reports based on the data available,
which can be used by a wide range of stakeholders. This can
include investor, payments, rating-agency and prudential or
regulatory reporting.
Peeters adds: “SAP Funding Management employs the
concept of calculated key figures. Once these are set up, they
can be used throughout the system for triggers, concentration
limits and of course reporting purposes. Using key figures is an
easy way to set up new reports.”
Global reputation
Although SAP Funding Management has only recently
established a footprint in the Australian market – one client, a
regular securitiser, has adopted the product – its local ambitions
are backed by a track record of widespread use in its home
market, Germany, and previous successful international rollout.
For example, according to its own figures, TXS’s covered-
bond software product is the most widely used solution in
the area of Pfandbrief-format covered-bond management. At
present, 66 banks in Germany and Austria that issue Pfandbriefe
use the software, which equates to an overall market share of
80 per cent.
Meanwhile, although securitisation is not a core
business for German banks – which tend to focus their
structured-finance issuance on covered bonds – SAP Funding
Management has also developed significant traction among
local issuers of RMBS and other ABS.
“We have been successful in selling our product worldwide
and also providing a business process outsourcing – cloud –
solution for securitisation in the German market,” says TXS’s
Hamburg-based managing director, Frank Zeidler. “This has
allowed small-to-medium sized banks and larger corporates to be
able to transfer their securitisation trust-management activities
to be administered by our own professional securitisation
services team, in a very simple and cost-effective way.”
It is not just German issuers which have adopted the
software. Peeters reveals that the first customer to use the
software was actually in the US, while the customer base has
grown across North America, Europe and now into Australia.
The international market was always a priority for the rollout
of SAP Funding Management.
S
AP Funding Management’s
purpose is ambitious –
but, its creator says, also
extremely valuable. The
product is an end-to-end
software solution for securitisation
and other asset-backed funding
products, designed to cover
the entire transaction lifecycle
including structuring, processing
and reporting (see graphic on
facing page).
Product specifics
It offers benefits for residential
mortgage-backed securities (RMBS)
and asset-backed securities (ABS),
but is not limited to mainstream
product. It is also prepared to meet
the requirements of Australian
covered-bond product.
Johannes Peeters, Head of
Australia and Asia-Pacific markets at TXS in Hamburg,
explains: “SAP Funding Management handles multiple
asset classes including, but not limited to, mortgages,
leases, consumer loans and credit-card receivables. It is also
a reporting tool – for example, the RBA [Reserve Bank of
Australia] reporting requirements for repo-eligible RMBS can
be handled by the system.”
The software’s functionality has been designed to have the
potential to radically streamline the securitisation process.
Peeters says many institutions currently use multiple systems,
including spreadsheets and databases, to run structured-
finance processes. Not only is this inefficient, but it is also
becoming increasingly inadequate in a world in which
internal and external auditors, regulators and investors are all
Johannes Peeters
Frank Zeidler
2. 29
TXS itself is a highly specialised software vendor which
focuses on structured-finance solutions. But it has the support
of a much larger entity, as suggested by the name of its
product. SAP is one of the leading global software vendors, and
it selected TXS as a partner to develop an asset-backed funding
product for its standard SAP Banking portfolio.
The partnership between the two companies combines
the strengths of both worlds: TXS’s business expertise on
one hand and the technical framework and infrastructure
capabilities of SAP on the other. TXS believes the offering
adds up to standard software which is very reliable and at
the same time flexible.
Australian specifics
The arrival of the TXS product in Australia has not happened
on a whim. Peeters reveals that the company has spent most of
2015 conducting detailed market research, including meeting
a range of local banks and market experts in the country.
“Because of TXS’s extensive experience in covered bonds
and securitisation combined with the technology capabilities
of our local partner, SAP Australia, we are confident that
we can provide innovative securitisation solutions to the
Australian market,” Peeters claims.
Most importantly, TXS argues that SAP Funding
Management is readily adaptable to Australia. “Our aim in the
Australian market is no different from what it is in Germany:
to meet both audit and regulatory compliance requirements,
reduce processing costs, and enable our clients to be
sustainable partners for their investors,” says Zeidler.
Nor is the Australian market radically different from TXS’s
home base. Peeters says there are a “number of similarities”
between the German and Australian securitisation industries,
and this provides “significant potential” for the widespread
deployment of SAP Funding Management in Australia.
Although its use in Germany is focused on small-to-
medium sized banks and corporate securitisers, TXS says in a
market like Australia there is no limit to the breadth of issuers
which may benefit from the adoption of its product. “To date,
our work with our current Australian customer and additional
independent analysis has revealed nothing of note that has
required us to specifically adapt the system to meet the
needs of the Australian structured-finance markets,” Peeters
comments. “Eligibility criteria, concentration-limit triggers
and many more locally defined criteria can all be configured
by the end user.”
Adopting a sophisticated, one-stop solution like SAP
Funding Management also lays the foundations for easy
integration of new market developments, Peeters argues. This
is equally true when it comes to specific expected changes in
the Australian market as it is globally.
“SAP Funding Management not only covers the current
requirements of the Australian securitisation market, but –
because of its underlying data model and flexible toolbox – is
also able to meet any future new requirements, including
things such like master-trust structures,” Peeters explains.
“We are already aware of the master-trust framework and
requirements in the UK, and we are actively watching
developments within the Australian regulatory framework.” ■
◆ for further information please contact:
Johannes Peeters
Head of Australia and Asia Pacific
johannes.peeters@txs.de
Funding workplace
Funding overview, monitoring, funding programmes, transparency of available assets, preselection
and asset-allocation management
Masterdata
cashflows
status
events
• Loans
• Leasing
• Receivables
• SAP
integration
Open to any
interface and file
format of third-
party systems
Contract
management
system • Data-quality
checks
• Data mapping
and derivation
rules
• Business rules
and checks
• Generic
extensibility
• Central asset
storage
• Multiple asset
classes
• Monitoring of
single assets
• Generic
extensibility
• Eligibility criteria
• Complex pool
concentration
limits
• Automatic
optimisation
algorithms
• Cash-flow
aggregation
• Generic
extensibility
Inbound services Asset warehouse Pool management
• Detailed
funding status
Outbound
services
• Replenishment of
continuous purchases
• Automatic buyback
pool reconciliation
• Payment reports
• Investor reports
• Multiple types of
asset-backed funding
transactions
Transaction processing
Investor and
payment
reports
Pool
reconciliation
Accounting system Business intelligence system
Sub-ledger, posting of flow types with
or without waterfall
SAP accounting interface
Settlement
Assets and pool key-figure
configuration and transaction-
specific reporting templates
SAP BI connector
Reporting engine
SAPFundingManagement
ABCP
Saleofapool
ABS/MBS