Remove Data Remove Management Remove Security
article thumbnail

7 Steps to Define a Data Governance Structure for a Mid-Sized Bank (Without Losing Your Mind)

Perficient

A mid-sized bank I was consulting with for their data warehouse modernization project finally realized that data isn’t just some necessary but boring stuff the IT department hoards in their digital cave. Welcome to the wild world of data governance, where dreams of order collide with the chaos of reality. Be ruthless.

Data 221
article thumbnail

Data Governance in Banking and Financial Services – Importance, Tools and the Future.

Perficient

Lets talk about data governance in banking and financial services, one area I have loved working in and in various areas of it … where data isn’t just data, numbers aren’t just numbers … They’re sacred artifacts that need to be protected, documented, and, of course, regulated within an inch of their lives.

Tools 221
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Microsoft Teams and Power BI – Analytics Hub and Content Management

Perficient

Data is the fuel, insights and KPIs drive decision making. The idea is that everyone in an Enterprise with appropriate rights and security should have access to insights off their enterprise data for effective decision making. Power BI files are binary files which carry both metadata and actual data. pbix) files.

Analytics 579
article thumbnail

How Managed Services Can Take You to the Cloud

Perficient

New features are very difficult to deploy, patching is near impossible and is leading to downtime, and security and compliance standards are becoming harder and harder to meet. The issue is you don’t have the in-house cloud capabilities to do that or manage the infrastructure once you do. This is where managed services come into play.

article thumbnail

Build Trustworthy AI With MLOps

Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.

article thumbnail

Six Ways to Protect Yourself and Your Family on Data Privacy Day

Perficient

As we mostly are working remotely these days, securing your space when you’re not in the safeguards of the office walls are critical. Perficient places a high value on data security and has several processes and tools in place to protect colleague and client information, but what about the everyday person?

Data 535
article thumbnail

Customer Data Management Challenges in Financial Services

Perficient

Today, I will dive into the customer data management challenges financial companies might encounter when starting their personalization journey. Data management in any financial services firm is complex. It’s a data-intensive business. To add to this complexity, much of the data is unstructured.

article thumbnail

MLOps 101: The Foundation for Your AI Strategy

Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?