Industries Archives - Data Ideology

The Benefits of Data Lakes for Financial Services

Data lakes are centralized repositories of data that are helpful for compliance purposes, performing forecasts, risk assessments, and understanding customer behavior.

The Benefits of Data Warehousing in Finance

A data warehouse is a storage system that enables you to track crucial data points over time and analyze them to run your financial operations smoothly and make sound decisions. 

Pitfalls to Avoid when implementing Health Information Exchange

In recent years, Health Information Exchange (HIE) capabilities have helped mobilize patient data allowing clinicians and healthcare managers to provide near real time diagnosis closing the gap on member care.

Interoperability in Healthcare: A Patient-First Framework

Healthcare Interoperability is a framework where systems are coordinated to provide standardized methods of interacting with patient data.

Surprise! Payers’ Data Struggles with the No Surprises Act

In late December of 2020, bi-partisan legislation known as the No Surprises Act was passed by the U.S. government. The main purpose of the bill is to eliminate surprise medical costs for out-of-network services.

Retail Predictive Analytics Improve Business Outcomes

If data is the new business currency, then predictive analytics are the means in which organizations can take control of that currency to maximize its benefits.

Artificial Intelligence (AI) Use Cases for the Retail Industry

Overall spending on Artificial Intelligence (AI) systems is projected to reach $79.2 billion in 2022, which is more than double the amount spent in 2019.

Automation Solutions Closes the Gap on Last Mile Delivery for Retailers

According to a recent retailer’s report conducted by Blue Yonder, only 14% of the 300 executives surveyed say their fulfillment locations are fully automated.

A 360-Degree Customer View: Personalizing the Consumer Journey

Although achieving a 360-degree view of customers isn’t a new concept by any stretch, retail organizations are still struggling to achieve this critical feat from a data management perspective.