The importance of data quality in Financial Services

Collibra

Financial services are highly regulated and maintain a strong focus on compliance and risk management. Constantly monitoring data and also reporting it to the regulatory authority is their top priority. What is data quality in financial services?

[Guide] Designing a Data Governance Program in Financial Services

Perficient

It is the basis of management decision-making, regulatory supervision, taxation, and investor and market behavior. In recent years, firms have recognized data as an independent asset that should be managed and leveraged to fully reap its benefits. As firms began to recognize the power of data for its ability to optimize business processes, as well as to provide a strategic advantage, new disciplines for its governance emerged. Today, it’s all about data.

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Components of a Data Governance Strategy in Financial Services

Perficient

Previously, I analyzed the types of data in a governance program for financial services companies. In this post, I discuss the components needed to design a data governance strategy. A firm-wide repository (data dictionary) should be constructed to catalog each data element along with its definition, point of origin (“golden source”), format, and owner. Periodic audit of data repositories should be conducted to identify any non-conforming data and its source.

Summary – “Industry in One: Financial Services”

ARMA International

The scope of a records and information management (RIM) program in financial services can seem overwhelming. Compared to other industries, the complexities of managing records and information in financial services are arguably some of the toughest to solve, primarily because of the intense regulatory scrutiny. The program must evolve with the industry as new challenges and opportunities emerge, and it requires constant attention and program adjustments.

Initiating a Data Governance Program in Financial Services

Perficient

Previously, I discussed the components needed to design a data governance strategy. This post will describe in detail, how to initiate the data governance program. The first step in implementing an enterprise data governance program is conducting a comprehensive assessment of all data related policies, processes, standards, repositories, and usage. The basis for any data governance program will be a thorough analysis of reference and transaction-level data.

Embracing new ways of working in financial services

CGI

Embracing new ways of working in financial services. Although the approaches to dealing with the COVID-19 pandemic vary by country, as governments and businesses come to grips with it, one thing is imperative: we will get through this. . Customer service.

New York Department of Financial Services Issues First Guidance by a U.S. Regulator Concerning Cyber Insurance

Data Matters

On February 4, 2021, the New York Department of Financial Services (NYDFS) issued Circular Letter No. Issuance of the Framework is notable as it represents the first official guidance by a U.S. Lacewell stated that cybersecurity is the biggest risk for government and private organizations and described how the Framework is based on “extensive dialogue with industry and experts.”. The post New York Department of Financial Services Issues First Guidance by a U.S.

NYDFS 500 and GDPR in Financial Services – Actions to Take Now

Perficient

My previous blog focused on addressing the General Data Protection Regulation (GDPR) and all the regulations that came with it. The first step any financial institution must take in its response to the laws is to evaluate its exposure and current capabilities in protecting sensitive business and customer data. Define the governance structure. Implement: Technical services are required to create/ update cybersecurity policies and procedures.

Historic Charges: First Enforcement Action Filed by New York Department of Financial Services Under Cybersecurity Regulation

Data Matters

On July 21, 2020, the New York State Department of Financial Services (NYDFS or the Department) issued a statement of charges and notice of hearing (the Statement) against First American Title Insurance Company (First American) for violations of the Department’s Cybersecurity Requirements for Financial Services Companies, 23 N.Y.C.R.R. First American failed to classify its applications properly as actively transmitting confidential, nonpublic information.

First American Financial Pays Farcical $500K Fine

Krebs on Security

In May 2019, KrebsOnSecurity broke the news that the website of mortgage settlement giant First American Financial Corp. NYSE:FAF ] was leaking more than 800 million documents — many containing sensitive financial data — related to real estate transactions dating back 16 years.

NY Department of Financial Services Issues Reminder for Cybersecurity Filing Deadline

Hunton Privacy

On January 22, 2018, the New York Department of Financial Services (“NYDFS”) issued a press release reminding entities covered by its cybersecurity regulation that the first certification of compliance with the regulation is due on or prior to February 15, 2018. DFS’s goal is to prevent cybersecurity attacks, and we therefore will now include cybersecurity in all DFS examinations to ensure that proper cybersecurity governance is being practiced by our regulated entities.

Getting Started With Data Governance

Perficient Data & Analytics

Data governance doesn’t start in a vacuum; it requires plenty of advance thinking, preparation, and strategy. As such, successful data governance must begin with a foundation built on data principles and a well-thought-out data strategy. Data principles are core guidelines and beliefs that form the backbone of the data strategy and core data governance capabilities.

Top 7 Data Governance Blog Posts of 2018

erwin

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Historically most organizations have approached data governance in isolation and from the former category. Defining Data Governance. www.erwin.com/blog/defining-data-governance/. to Data Governance 2.0

Responsibility of Data Architecture in Data Governance

Perficient Data & Analytics

This needs to be abstract enough to gain acceptance across the financial institution, yet maintain an appropriate level of detail required to support clear ownership. data governance components) of data governance, which can help drive better business decisions, enhance regulatory compliance, and improve risk management. You can download it here.

Establishing Authoritative Sources in Data Governance

Perficient Data & Analytics

Before a financial institution can agree on authorized sources of data, there must first be a common understanding of the type of data being sourced. Wrong sourcing involves reviewing consumers to identify instances where non-authoritative sources or unnecessary distributors are being used and manipulated data may be being distributed or used as if it came from an authoritative source. You can download it here.

Leveraging Blockchain Integration to Meet Information Governance Challenges

InfoGoTo

Blockchain integration is one of the hottest technology topics in the business world today, with financial services and healthcare sectors leading the way in exploring how to integrate blockchain into their organizations. A recent PwC survey of 600 executives from 15 territories noted that 84% of respondents are actively involved with blockchain in some form, with financial services taking the lead. A Financial Services Roadblock.

Defining Organizational Roles in a Data Governance Road Map

Perficient Data & Analytics

The data governance road map should define a data governance operating model and organization structure. As part of the structure, an executive steering committee should be established with representation from all key areas of the financial institution. The steering committee is responsible for providing overall direction and vision for the company’s data strategy and governance and should define key roles for effectively managing data across the company.

Data Governance Tools: What Are They? Are They Optional?

erwin

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data governance refers to the strategic and ongoing efforts by an organization to ensure that data is discoverable and its quality is good. It is also used to make data more easily understood and secure.

Why Facebook's Diem is 'a Shadow of Libra'

Data Breach Today

Facebook's relaunch and rebrand of its Libra digital payment initiative as Diem is seen by some as a shadow of its former self. Financial services commentator Chris Skinner explains why state governments and AML concerns are to blame

Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

The volume and variety of data has snowballed, and so has its velocity. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down. So it’s safe to say that organizations can’t reap the rewards of their data without automation. The banking, financial services and insurance industry typically deals with higher data velocity and tighter regulations than most.

Keeping Up with New Data Protection Regulations

erwin

Facebook was in the news again last week for another major problem around the transparency of its user data, and the tech-giant also is reportedly facing 10 GDPR investigations in Ireland – along with Apple, LinkedIn and Twitter. When it comes to new data protection regulations in the face of constant data-driven change, it’s a matter of when, not if. The Regulatory Rationale for Integrating Data Management & Data Governance.

Pandemic Highlights Mortgage Servicing Rights Ownership Issues

InfoGoTo

During the Great Recession, the ownership of mortgages and mortgage servicing rights became a problematic issue, due to the common practice of loan originators repackaging and selling loans to servicing firms who, in turn, often sold them again.

Paper 72

Top 6 Best Practices for Data Governance

Collibra

Data governance is a very intricate field, so implementing and sustaining data governance comes with a suite of challenges. Luckily, thousands, if not millions, of organizations use data governance to improve their operations, so you can learn from others’ mistakes and successes.

Mortgage Retention Requirements See Renewed Emphasis During COVID-19 Pandemic

InfoGoTo

The financial fallout from COVID-19 never seems to stop spreading. This means even greater challenges for servicers, who are dealing with record volumes and geographically scattered employees no longer working in a central office.

Using Information Governance to Manage the Commingling of Minors’ Claim Files

InfoGoTo

For P&C insurers, the handling of retention and disposition of minor claims files have historically been challenging due to poor information governance (IG) practices. As you move from a physical to digital way of working, it’s important you have a game plan in place to manage your physical legacy minors’ claim files that are more than likely commingled with your age of majority files. Do you have a consistent policy or does it vary by state?

Ransomware at IT Services Provider Synoptek

Krebs on Security

Synoptek , a California business that provides cloud hosting and IT management services to more than a thousand customer nationwide, suffered a ransomware attack this week that has disrupted operations for many of its clients, according to sources.

Reltio Cloud – Your Key to a Successful SAP S/4HANA Migration

Reltio

And why can’t they resolve it themselves?” ” “It’s the sheer mental fatigue and they can’t think anymore. Let’s sit somewhere and talk about it for a bit, maybe I can offer some advice.” ” “But to do that, you need to think a little differently, and improve the efficiency where it matters, especially when it comes to your master data.” It’s at the heart of this whole thing as I said earlier.”

[Guide] SEC Investment Company Reporting Modernization

Perficient Data & Analytics

The new requirements can be daunting for a firm because they create the prospect of disparate data sources, nascent data governance programs, and stretched operational support on top of the need to run a highly competitive business. Our new guide discusses the background of the SEC’s Investment Company Reporting Modernization Rules and the potential effects on individual financial institutions, including: Why the SEC established new rules.

Investment Company Reporting Modernization Goals & Expectations

Perficient Data & Analytics

In a new guide, we discuss the background of the SEC’s Investment Company Reporting Modernization Rules and the potential effects on individual financial institutions. Other amendments and rules with which you must comply: Enhanced disclosure about derivatives in financial statements. The snippet below shares the rules’ objectives and expectations. The SEC wants to improve: The quality of information that funds report to the Commission.

SEC Investment Company Reporting Modernization Program Challenges

Perficient Data & Analytics

In a new guide, we discuss the background of the SEC’s Investment Company Reporting Modernization Rules and the potential effects on individual financial institutions. Data Governance: Data dictionary, lineage, and stewardship processes must be established for required data elements used in the new reports, as well as demonstrated to the SEC, if required.

SEC Investment Company Reporting Modernization Support

Perficient Data & Analytics

The first thing any investment company must do in response to the new SEC Investment Company Reporting Modernization is evaluate its current state of readiness. Immediate action areas may include any of the following: Planning: Review of project governance, project plans, and risk logs to identify red flags. Analysis: Identification of critical data gaps, implementation or reinforcement of data governance processes, and documentation of requirements.

Getting Started with California Consumer Privacy Act Compliance

Perficient Data & Analytics

Compliance with the CCPA requires robust processes for identifying, governing, distributing, and securing consumer personal information. Data recipients: Compile a list of entities, such as administrators, custodians, transfer agents, investment managers, and other service providers. IT security: Assess information security and data protection mechanisms from a business and technical perspective. Reinforce data governance, distribution, and protection mechanisms.

SEC Investment Company Reporting Modernization Deadlines

Perficient Data & Analytics

In a new guide , we discuss the background of the SEC’s Investment Company Reporting Modernization Rules and the potential effects on individual financial institutions. The snippet below shares some deadlines the new rules present. Form N-PORT. If you are a larger entity with net assets of over $1 billion, you were initially required to comply by June 1, 2018. The SEC has granted a nine-month delay, but you must still gather and maintain all the required data as of June 1, 2018.

Business Process Modeling Use Cases and Definition

erwin

A visual representation of what your business does and how it does it. According to Gartner , BPM links business strategy to IT systems development to ensure business value. It also combines process/ workflow, functional, organizational and data/resource views with underlying metrics such as costs, cycle times and responsibilities to provide a foundation for analyzing value chains, activity-based costs, bottlenecks, critical paths and inefficiencies.

Perficient Helps Adjust to the California Consumer Privacy Act

Perficient Data & Analytics

The first step any financial institution must take in its response to the new CCPA law is to evaluate its exposure and current state of readiness. Areas that may require immediate action include any of the following: Planning: Review of project governance, project plans, and risk logs to identify red flags. Analysis: Identification of critical process and data gaps, implementation or reinforcement of governance processes, documentation of requirements.

SEC Investment Company Reporting Modernization Foundational Work

Perficient Data & Analytics

In a new guide , we discuss the background of the SEC’s Investment Company Reporting Modernization Rules and the potential effects on individual financial institutions. By now, you should have a program in place that covers the following work streams: Engage Report Filing Provider: Initiate a project with the selected service provider to collect and process data, and file the required forms. Test Filing: Generate files with test data for your service provider to file with the SEC.

CCAR MRAs: 6 abilities you need

Collibra

It’s no longer sufficient to think in terms of data management. For banks to ensure preparation for CCAR MRA and sustainable regulatory compliance, they need to shift their thinking to focus on data governance, which requires a different set of capabilities. CCAR MRAs and governance capabilities . When preparing for CCAR MRAs, it is essential to have a comprehensive set of data governance capabilities that all work together.

Improve your data relationships with third parties

Collibra

Regulators are focusing on the data relationships financial services organizations have with third parties, including how well personal information is being managed. Others are realizing that they need to outsource critical services to specialist service providers. .

Data Governance Tools: What Are They? Are They Optional?

erwin

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data governance refers to the strategic and ongoing efforts by an organization to ensure that data is discoverable and its quality is good. It is also used to make data more easily understood and secure.

President Trump Signs Financial Services Regulatory Reform Legislation

Data Matters

The Act makes many significant modifications to the postcrisis financial regulatory framework, although it leaves the core of that framework intact. One major consequence of the Act may be an increased potential for mergers, acquisitions and organic growth among regional and midsize banks, as well as community banks, because of provisions that increase the thresholds that must be met before various financial regulatory requirements apply. Initiating Online Banking Services.