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Financial Services

Do AI Applications Have a Limit in Financial Services?

Dominant financial services institutions, currently, focus on; a scale of assets, mass productions, relationship exclusivity, switching costs, and dependence on the integrity of humans. However, the future will change with the assistance of artificial intelligence. With the adaptation of new technologies, leading companies will begin to implement data-driven decisions, personalized customer experiences, and workflow optimization. […]

Paycheck Protection Program

The Importance of Data Lineage in Data Governance

Data lineage is the capture of the flow of data from the source through intermediary systems and data transformations to a final destination or consumer. Having good data lineage provides a means to confirm that data used by consumers is from trusted, authoritative sources with adequate controls in place to govern the hand-offs between systems. […]

Post-Digital Transformation

Align Your Business Model with Millennial Values

Build trust by aligning your business model with what Millennial investors value. Millennial investors tend to be confident and independent. They want an adviser to do something they can’t do themselves. Business models – supported by appropriate technologies that include taking the time to understand where Millennial investors are getting their information, what influences their […]

Expect Challenges with the California Consumer Privacy Act

Compliance with the CCPA will be challenging because it represents major changes in how financial institutions conduct their business. DATA DISPERSION Consumer personal data is often scattered across multiple internal platforms and shared with many third parties. Firms may not have a full picture of where this information is stored and how it is controlled. […]

Establishing Authoritative Sources in Data Governance

Establishing an authoritative sources capability confirms the enterprise approved source for data ownership, including both origination and distribution. 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. Data will need to be classified in an agreed-upon enterprise data model. […]

Advantages of Datorama

Consider Maturity, Limitations, and Appropriateness of New Tech

Digital transformation initiatives should also consider the maturity, limitations, and appropriateness of artificial intelligence, machine learning, and robotics technologies. Again, look to other industries for insight. If you believe the automotive pundits, fully autonomous, driverless cars are only months away. Google and Tesla told us they would have fully autonomous cars by 2018; GM planned […]

Establishing a California Consumer Privacy Act Compliance Program

As stated in our previous blog, complying with the CCPA requires a strategic approach that covers all stages of planning, analysis, implementation, and quality assurance. A comprehensive compliance program includes all of the following: PLANNING Impact analysis, as well as business case and roadmap development Identify the project work streams Establish the program governance model […]

Responsibility of Data Architecture in Data Governance

The data architecture capability will supply the components and standards necessary to implement other capabilities coherently and enable them to work together. A primary responsibility of data architecture is to define and have an accepted enterprise-wide set of models, standards, glossaries and hierarchies which allow a standard description of data across business lines, products and […]

Forrester recognizes Perficient as an insights service provider

A Roadmap for Building Trust With Wealth Management Clients

Wealth management firms are at the dawn of this journey. You should focus on strategies that respond to Millennial behavior and operational excellence throughout the entire client lifecycle. This focus is essential to creating the trust required to make all the complex technology work. If you want your clients to embrace artificial intelligence, machine learning, […]

Guide: Complying with the California Consumer Privacy Act of 2018

The state of California has passed a digital privacy law that requires businesses to make disclosures about their collection, use, and dissemination of consumer personal information. The California Consumer Privacy Act (CCPA) will have far-reaching effects on how financial institutions manage their customer data. Compliance will be difficult for firms with disparate silos of customer […]

Big Data Bootcamp

Big Data Bootcamp by the Beach: An introduction

This is a little story about nothing ventured; nothing gained. One day, I got a LinkedIn message asking if I would like to teach a Big Data Bootcamp at an event for the Universidad Abierta Para Adultos in Santiago de Caballeros, República Dominicana. Luis didn’t know me; he just saw my profile and saw that I’ve been […]

Defining Organizational Roles in a Data Governance Road Map

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 […]

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