Managed data services provide hosted access to comprehensive reference data and tools to help investment managers and firms implement investment strategies. They allow all sized firms to access critical market data without having to build expensive in-house infrastructure. The services provide on-demand, real-time access to global multi-asset reference data and analytical tools to support portfolio management, research, trading, and compliance functions. They also help reduce costs for smaller firms and level the playing field compared to larger competitors.
Reference data management in financial services industryNIIT Technologies
This white paper analyse s the need for Reference Data Management in the financial services industry and elucidates the challenges associated with its implementation. The paper also focuses on the critical elements of RDM implementation and some of the major benefits an organization can derive by implementing a robust Reference Data Management into its IT infrastructure.
Big Data vs. Big Risk: Real-Time Trade Surveillance in Financial MarketsArcadia Data
Who’s winning the deep forensic analysis ‘arms race’ for compliance?
Real-time trade surveillance in global financial markets has created a data tsunami.
With greater volumes of data comes greater compliance risk. CNBC reports U.S. Banks have been fined over $200B since the financial crisis. How are compliance teams fighting back to make more of the data and stay out of regulatory hot water?
Rapid response to suspect trades means compliance teams need to access and visualize trade patterns, real time and historic data, to navigate the data in depth and flag possible violations.
Join Hortonworks and Arcadia for this live webinar: we’ll cover the use case at a top 50 Global Bank who now has deep forensic analysis of trade activity. The result: interactive, ad hoc data visualization and access across multiple platforms – without limits on historic data – to detect irregularities as they happen.
Data Quality Tools Market PPT 2021-26 | Enhancing Huge Growth and Latest Tren...IMARC Group
According to the latest report by IMARC Group,the global data quality tools market exhibited strong growth during 2015-2020.
Data quality tools are used for enhancing the quality of the data through various standardized processes for analyzing datasets and converting them into meaningful information by identifying, understanding and resolving the problems.
With recent acquisitions of master data management, process automation, and data governance capabilities, Precisely accelerates its leadership in data integrity with the broadest solution available from any one company. Join us in this webinar to learn about:
- The importance of data integrity for building business opportunities based on trusted data.
- How Winshuttle’s master data management and process automation products help achieve trust in data.
- How data governance capabilities from Infogix bridge the gap between business and IT to map your data integrity journey.
This Cartesian Insight examines how operators are leveraging subscriber data for new revenue streams, cost savings and customer experience enhancement.
www.cartesian.com
Align Business Data & Analytics for Digital TransformationPerficient, Inc.
Your success in the digital world relies primarily on how well you manage and analyze the data coming from disparate internal systems and external channels. You need to understand how to innovate and leverage digital data to drive sales and productivity.
Existing principles driving traditional data architecture are inadequate to support the volume, variety, and velocity of this new data ecosystem. In these scenarios, information governance (master data management, metadata, data quality and data governance) becomes highly critical in terms of providing the context for operational, competitive and advanced analytics.
Companies require a data architecture and strategy that can support efficient digital transformation by unlocking the value in all data sources to provide mission-critical insights and informed decision-making.
Our experts covered:
-Five information management pillars necessary for digital transformation
-Stages of digital information maturity, reflecting the typical path of an organization implementing this new data ecosystem
-Issues, challenges, and approaches to governing this new architecture
Reference data management in financial services industryNIIT Technologies
This white paper analyse s the need for Reference Data Management in the financial services industry and elucidates the challenges associated with its implementation. The paper also focuses on the critical elements of RDM implementation and some of the major benefits an organization can derive by implementing a robust Reference Data Management into its IT infrastructure.
Big Data vs. Big Risk: Real-Time Trade Surveillance in Financial MarketsArcadia Data
Who’s winning the deep forensic analysis ‘arms race’ for compliance?
Real-time trade surveillance in global financial markets has created a data tsunami.
With greater volumes of data comes greater compliance risk. CNBC reports U.S. Banks have been fined over $200B since the financial crisis. How are compliance teams fighting back to make more of the data and stay out of regulatory hot water?
Rapid response to suspect trades means compliance teams need to access and visualize trade patterns, real time and historic data, to navigate the data in depth and flag possible violations.
Join Hortonworks and Arcadia for this live webinar: we’ll cover the use case at a top 50 Global Bank who now has deep forensic analysis of trade activity. The result: interactive, ad hoc data visualization and access across multiple platforms – without limits on historic data – to detect irregularities as they happen.
Data Quality Tools Market PPT 2021-26 | Enhancing Huge Growth and Latest Tren...IMARC Group
According to the latest report by IMARC Group,the global data quality tools market exhibited strong growth during 2015-2020.
Data quality tools are used for enhancing the quality of the data through various standardized processes for analyzing datasets and converting them into meaningful information by identifying, understanding and resolving the problems.
With recent acquisitions of master data management, process automation, and data governance capabilities, Precisely accelerates its leadership in data integrity with the broadest solution available from any one company. Join us in this webinar to learn about:
- The importance of data integrity for building business opportunities based on trusted data.
- How Winshuttle’s master data management and process automation products help achieve trust in data.
- How data governance capabilities from Infogix bridge the gap between business and IT to map your data integrity journey.
This Cartesian Insight examines how operators are leveraging subscriber data for new revenue streams, cost savings and customer experience enhancement.
www.cartesian.com
Align Business Data & Analytics for Digital TransformationPerficient, Inc.
Your success in the digital world relies primarily on how well you manage and analyze the data coming from disparate internal systems and external channels. You need to understand how to innovate and leverage digital data to drive sales and productivity.
Existing principles driving traditional data architecture are inadequate to support the volume, variety, and velocity of this new data ecosystem. In these scenarios, information governance (master data management, metadata, data quality and data governance) becomes highly critical in terms of providing the context for operational, competitive and advanced analytics.
Companies require a data architecture and strategy that can support efficient digital transformation by unlocking the value in all data sources to provide mission-critical insights and informed decision-making.
Our experts covered:
-Five information management pillars necessary for digital transformation
-Stages of digital information maturity, reflecting the typical path of an organization implementing this new data ecosystem
-Issues, challenges, and approaches to governing this new architecture
Serene Zawaydeh - Big Data -Investment -WaveletsSerene Zawaydeh
Big data solutions are being implemented in the investment industry among other industries, allowing processing of a large volume of variables including real time changes.
In addition to highlighting current applications of big data in the investment industry, this paper identifies applications of Wavelets in finance and Big Data. Wavelets are used for the analysis of non stationary signals. Academic studies proved the benefits of using Wavelets for forecasting financial time series, data mining among other applications.
Business Process Re-engineering (BPR) How to fight Maverick Rebel. A too frequently overlooked cause preventing process optimization. This is one of the causes why too big companies are having issues which must be addressed DATA QUALITY ASSURANCE - DQA a typically overlooked domain.
Insurance rating software is defined as an integrated software to handle the needs of insurers of all sizes. It is used to calculate the premium associated with a policy or other transactions. It stores the rating rules and algorithms, the base rates and associated factors, and the rules necessary to combine the rates and algorithms to calculate a premium.
Be Digital or Die - Big Data in Financial ServicesFintricity
Leveraging Big Data, disruptive technologies (such as Blockchain) and new business models to digitally transform financial services companies. Presented by Alpesh Doshi at the Big Data Innovation Summit in San Francisco 2016.
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.
Accelerating Data-Driven Enterprise Transformation in Banking, Financial Serv...Denodo
Watch full webinar here: https://bit.ly/3c6v8K7
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration/data delivery approach to gain greater agility, flexibility, and efficiency.
In this session from Denodo, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
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.
Transforming for digital customers across 6 key industriesAbhishek Sood
While many industries recognize the value of digital transformation and the role it plays in meeting increasingly high customer expectations, digital transformation maturity is lagging behind in several industries.
To learn more, Forrester Consulting conducted a study to evaluate the state of digital transformation across 6 industries, including retail, banking, healthcare, insurance, telco, and media.
Find out how each of these industries is faring in a digital-first world, and uncover the report’s key findings about:
The role of digital technologies in shaping customer relationships
Areas of improvement: From operations to digital marketing
Recommendations for the next steps in digital transformation
And more
In this session we will discuss the business case for a proactive, real-time fraud prevention strategy which enables you to maximize revenue opportunities whilst minimizing fraud. During the session we will create a fraud management check list which combines People, Processes and Technology, underpinned by data, analysis and tailored rules.
Driving Value Through Data Analytics: The Path from Raw Data to Informational...Cognizant
As organizations gather and process colossal amounts of data, analytics is essential for operational and strategic excellence. We offer a guide to the phases of the data analytics journey, from descriptive to diagnostic to predictive to prescriptive, covering intentions, tools and people considerations.
Serene Zawaydeh - Big Data -Investment -WaveletsSerene Zawaydeh
Big data solutions are being implemented in the investment industry among other industries, allowing processing of a large volume of variables including real time changes.
In addition to highlighting current applications of big data in the investment industry, this paper identifies applications of Wavelets in finance and Big Data. Wavelets are used for the analysis of non stationary signals. Academic studies proved the benefits of using Wavelets for forecasting financial time series, data mining among other applications.
Business Process Re-engineering (BPR) How to fight Maverick Rebel. A too frequently overlooked cause preventing process optimization. This is one of the causes why too big companies are having issues which must be addressed DATA QUALITY ASSURANCE - DQA a typically overlooked domain.
Insurance rating software is defined as an integrated software to handle the needs of insurers of all sizes. It is used to calculate the premium associated with a policy or other transactions. It stores the rating rules and algorithms, the base rates and associated factors, and the rules necessary to combine the rates and algorithms to calculate a premium.
Be Digital or Die - Big Data in Financial ServicesFintricity
Leveraging Big Data, disruptive technologies (such as Blockchain) and new business models to digitally transform financial services companies. Presented by Alpesh Doshi at the Big Data Innovation Summit in San Francisco 2016.
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.
Accelerating Data-Driven Enterprise Transformation in Banking, Financial Serv...Denodo
Watch full webinar here: https://bit.ly/3c6v8K7
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration/data delivery approach to gain greater agility, flexibility, and efficiency.
In this session from Denodo, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
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.
Transforming for digital customers across 6 key industriesAbhishek Sood
While many industries recognize the value of digital transformation and the role it plays in meeting increasingly high customer expectations, digital transformation maturity is lagging behind in several industries.
To learn more, Forrester Consulting conducted a study to evaluate the state of digital transformation across 6 industries, including retail, banking, healthcare, insurance, telco, and media.
Find out how each of these industries is faring in a digital-first world, and uncover the report’s key findings about:
The role of digital technologies in shaping customer relationships
Areas of improvement: From operations to digital marketing
Recommendations for the next steps in digital transformation
And more
In this session we will discuss the business case for a proactive, real-time fraud prevention strategy which enables you to maximize revenue opportunities whilst minimizing fraud. During the session we will create a fraud management check list which combines People, Processes and Technology, underpinned by data, analysis and tailored rules.
Driving Value Through Data Analytics: The Path from Raw Data to Informational...Cognizant
As organizations gather and process colossal amounts of data, analytics is essential for operational and strategic excellence. We offer a guide to the phases of the data analytics journey, from descriptive to diagnostic to predictive to prescriptive, covering intentions, tools and people considerations.
Metode Senang dan Indahnya Belajar Quran Metode Aqsho. Adalah Cara Cepat Belajar Membaca Alquran. Metode Terbaru dalam pembelajaran ALquran, asyik dan menyenangkan
En este sentido, podría decirse que mi proyecto de vida es la dirección que marco, el objetivo de mis metas y como trato de alcanzar cada uno de ellas.
Big Data is Here for Financial Services White PaperExperian
Conquering Big Data Challenges
Financial institutions have invested in Big Data for many years, and new advances in technology infrastructure have opened the door for leveraging data in ways that can make an even greater impact on your business.
Learn how Big Data challenges are easier to overcome and how to find opportunities in your existing data and scale for the future.
Advanced data services can help you unlock the full potential of your data and gain a competitive advantage. By investing in data services, you can transform your raw data into actionable insights that can be used to improve every aspect of your business.
Global Service Delivery Market Overview.pdfamolswimarket
Service Delivery Market is estimated to grow from USD 2.86 Billion in 2022 to USD 7.61 Billion by 2033, growing at a CAGR of 28.2%. The concept of global service delivery is becoming more and more important for businesses looking to stay competitive and customer-focused in the quickly changing business landscape.
Smart and proactive decision making is not only an advantage but a key to success of any business. This requires quantitative insights into various business operations and influences. The recent advancements in technology and a significant reduction in data storage costs have given rise to vast and versatile sources of data that provide a wealth of such insights. Harnessing them to accelerate and optimize your business is cardinal for keeping up with the emerging trends.
How to Monetize Your Data Assets and Gain a Competitive AdvantageCCG
Join us for this session where Doug Laney will share insights from his best-selling book, Infonomics, about how organizations can actually treat information as an enterprise asset.
Business intelligence (BI) services provide companies with the tools and expertise they need to collect and analyze data, turning it into actionable insights that can drive better decision-making. Tarams’ team of experts works closely with clients to understand their specific needs and develop tailored solutions that meet their unique requirements. With a commitment to excellence, Tarams is dedicated to delivering the highest quality Business Intelligence services to its clients.
The Economic Value of Data: A New Revenue Stream for Global CustodiansCognizant
Global custodians' big data offers myriad opportunities for generating value from analytics solutions; we explore various paths and offer three use cases to illustrate. Data aggregation, risk management, digital experience, operational agility and cross-selling are all covered.
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsDenodo
Watch full webinar here: https://buff.ly/3vhzqL5
Join our exclusive webinar series designed to empower credit unions with transformative insights into the untapped potential of data. Explore how data can be a strategic asset, enabling credit unions to overcome challenges and foster substantial growth.
This webinar will delve into how data can serve as a catalyst for addressing key challenges faced by credit unions, propelling them towards a future of enhanced efficiency and growth.
Data Fabric technology helps companies to achieve their maximum efficiency. In this report, you will find about how data fabric is revolutionizing the work culture.
2. MANAGED DATA SERVICES
The Evolution Of Investment Strategy
The evolution of investment strategy is transforming the use of data. In
modeling and executing complex portfolio decisions, managers increasingly
require detailed reference data on the securities they are buying and they
expect that information to be easily accessible.
In the traditional model, the back office controlled access to the data: front-
and middle-office users had to request access. With limited development
resources, that access was often too costly or too late to be useful. In addition,
back-office access is often driven by processing tasks, such as daily or pre-
market data loads. But front-office users need updated insights throughout
the trading day.
The core challenge has therefore become – how do investment firms achieve
greater on-demand access to mission-critical content in the face of growing
pressure to reduce costs associated with the design, maintenance and hosting
of such architectures?
Managed data services are a direct response to this challenge and growing
demand. These hosted software solutions provide access to a comprehensive
universe of global multi-asset class data, efficient delivery of data services,
and scalability via networks and technology infrastructures maintained and
managed by the host. Crucially, all this is achieved by employing standard
technologies that greatly ease the integration path.
Managed data services also help to level the playing field between big firms
and others in the market. Hosted solutions allow smaller firms to bypass a
significant portion of infrastructure development and maintenance costs.
These efficiencies enable small and midsize firms to compete more effectively
with their larger rivals.
Pricing & Reference Data
1
3. AN EXPANDING UNIVERSE OF USERS
An Expanding Universe of Users
The way in which content is retrieved is changing.
Traditionally, data was sent to clients via batch files and
was warehoused and then leveraged by the back office.
With the advent of hosted services business applications
are able to tap in to content on a ‘just in time’ basis,
better serving the constantly evolving requirements of
investment strategy; research; sales and trading; and
pre-trade and post-trade compliance.
Investment strategy Portfolio managers and investment
firms seek alpha, while controlling for risk. Doing so
requires creating new investment and trading strategies.
They need access to a comprehensive universe of
securities, covering a wide range of asset classes to
model complex strategies. Hosted data services allow
them to seize opportunities by:
• Providing high quality data to support sophisticated
trading strategies: A trading strategy is only as good
as the data on which it rests. Sophisticated trading
strategies depend on high-quality data available on
demand.
• Populating with reference data, corporate actions,
news and historical data: Building robust trading
models depends on the ability to feed and integrate
up-to-date reference data, news and corporate actions
into simulations.
• Modeling portfolio “what-if” analysis: Provides users
the tools to measure the effects of trading on single
and multiple portfolios to better analyze and support
risk monitoring.
Research While some broker-dealers and buy-side firms
still conduct their own research, third-party providers
increasingly generate much of the research and analysis
for asset managers. And as the number of independent
research providers has risen, competition has ratcheted
up the complexity and quality of the research. Strong
research today requires access to data across multiple
asset classes, markets and geographies to produce new
insights.
Sales and Trading Broker-dealer sales and trading
activity is driven by institutional buy-side clients. Being
able to identify securities those institutional clients may
invest in can improve sales and trading revenue. To find
marketable securities, generate ideas and drive price
discovery, sales and trading needs access to a deep set
of data and must be able to run sophisticated and robust
queries and filters. Hosted data services can help achieve
those improvements.
2
4. Pricing & Reference Data
3
Pre- and Post-trade Tools Managed data services can also provide a range of
pre- and post-trade monitoring tools for meeting compliance, strategic and
operational goals.
• Compliance: Firms can more easily establish parameters for meeting client-
specific goals. For example, managed data services make it easier to meet
certain objectives such as monitoring for so-called “sin stock” assets in
portfolios.
• Strategic: Managed data services make it easier to filter for multiple
strategic factors such as duration, credit rating, industry, sector, issuer and
taxable or tax-exempt credits.
• Operational: Managed data services facilitate post-trade processing, and
support reconciliation, clearing, settlement and reporting. The tools help
generate risk reporting, benchmark comparisons, total-return simulations
and what-if scenarios in both the municipal and taxable bond markets.
HOSTED SERVICES: THE VALUE
PROPOSITION
The asset management
and brokerage landscape is
changing dramatically, stressing
organizations’ underlying
technology. But maintaining
that infrastructure calls
for a major commitment of
resources, one that is outside
the capability of many small
and midsize organizations.
By leveraging hosted solutions,
small- and medium-size firms
gain access to security master
data, avoid the overhead of
building out costly interfaces
and gain flexibility. Solutions
which are hosted by trusted
third parties allow them
to refocus internal IT staff
and resources on strategic,
value-added services, rather
than maintaining expensive
infrastructure. Additionally,
managed data services can
form a part of your business
continuity planning, adding to
savings.
5. 4
Conclusion
Managed data services give portfolio managers and investment firms
greater capability toward implementing their investment strategy. It allows
organizations of all sizes to leverage the technology infrastructure and access
to security master data without the investment in databases.
Interactive Data’s Apex® Managed Data Service is a hosted solution that
gives you access to our complete universe of multi-asset data, using standard
interfaces. We minimize the strain on IT and data management resources,
delivering data to the desktop efficiently, allowing a broader range of users
to leverage information. Our scalable technology reduces barriers to entering
new lines of business.
Interactive Data brings a scope and depth of content; quality reference data
that is comprehensive, accurate and timely; a technology infrastructure
platform that lets you bring data into your organization; and a focus on
client service. Let us show you how you can leverage our expertise to better
compete in global markets.