FINANCIAL

Increasingly, Financial Services Institutions (FSI) are experiencing an explosion of growth in data across multiple channels: customers, operations, social media, etc. At the same time, bespoke reporting and business intelligence, often commonly referred to as descriptive analytics, has evolved significantly to address new functionality including, predictive and cognitive capabilities, now commonly referred to as Machine Learning (ML) and Artificial Intelligence (AI). As a result, insight on performance, growth, and optimization has become more efficient, and cost effective – putting more accurate, more timely information in the hands of key decision-makers.  Today, market conditions, competitive, and regulatory pressures require a different, practical approach to addressing management’s need to know more.  In a data-first, cloud-driven world, savvy executives must use proven, innovative, technologically advanced techniques to stay ahead.

Additionally, the landscape of Financial Services continues to evolve and present challenges to the entire C-Suite.  Financial institutions have evolved through numerous acquisitions, years of addressing short term goals and the Great Recession to find themselves in an increasingly complex world. These have created environments that inherently represent high cost, high risk and high maintenance.  All of this in a world where transparency and process are required to meet the ever-changing demands of numerous regulators and Wall Street.

Intelligent Automation (RPA)

Increasing efficiency and effectiveness throughout the enterprise using Robotics Process Automation (RPA) to eliminate redundant, reoccurring, manual activities and errors.

Customer Centricity

Retain and attract customers, by better understanding buying patterns, product suitability, and matching sales, marketing, and promotions, to improve customer experience, and reduce attrition.

Data Management

Establishing the right data infrastructure to support critical decision-making.  Today, to avoid the lackluster results of large and complex data warehouse initiatives, a more agile, simpler, cost-effective approach is required. 

Risk and Compliance

Aggregate, govern, and deliver trusted data to comply with Dodd-Frank, CCAR, KYC, AML, PEP, BCBS 239, suitability and other regulations.

Mergers and Acquisitions Value Acceleration

Rationalize, migrate, consolidate, and integrate critical business data and systems pre and post M&A.

Business Transformation

Enabling business strategies by optimizing capabilities, processes and automation (RPA) to achieve the desired business outcomes.

Data Governance

Retain and attract customers, by better understanding buying patterns, product suitability, and matching sales, marketing, and promotions, to improve customer experience.

IT Transformation

Establishing the right Target Operating Model and reducing complexity, operational risk, information security risk and costs through IT Simplification and Application Rationalization.

Project Leadership

Drive operational excellence by using the right processes, tools and core delivery capabilities while becoming agile.

SUCCESS STORIES

The Paradigm team has remained extremely involved – people that originally presented the Scope are here delivering.

They’ve provided transparency in a way no other vendor has before – it’s set a new standard of excellence for us and our other vendors. Paradigm continues to push us and help us grow!

Financial Services Client

Paradigm is the reason we have hit this critical MDM milestone. A new technology starting from a blank sheet of paper requires talented individuals willing to work tirelessly and pull together their shared knowledge.

The Paradigm team never failed to rise to the occassion and find solutions. Many, many thanks to all of the Paradigm team members!

VP, Top 5 US Bank

PARADIGM INSIGHTS

What is Data Privacy, Really, and What Tools are Required for It?

Originally published on Information-Management.com Written by Ernest Martinez, Senior Director of Client Services   During the first decade of the 21st century, organizations came to realize the value of the data held in their IT systems. That data could be used...