Precisely

MARCH 14, 2023

And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. But early adopters realized that the expertise and hardware needed to manage these systems properly were complex and expensive. What does all this mean for your business?

Data Integration 52

Data Integration High Quality Data BI Data 52

Databand.ai

JULY 11, 2023

By automating many of the processes involved in data quality management, data quality platforms can help organizations reduce errors, streamline workflows, and make better use of their data assets.

Data Cleanse 52

Data Cleanse Telecommunication High Quality Data BI 52

Monte Carlo

JANUARY 5, 2024

A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Innovations in data lakehouse architecture have been an important step toward more flexible and powerful data management systems. This starts at the data source. Image courtesy of Databricks.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Innovations in data lakehouse architecture have been an important step toward more flexible and powerful data management systems. This starts at the data source. Image courtesy of Databricks.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Striim

APRIL 30, 2024

Kramp, a stalwart in the distribution of agricultural spare parts and accessories across Europe, embarked on a transformative journey five years ago with a bold vision to overhaul its data management system. Striim’s platform provided a developer-friendly environment and stability across Kramp’s data operations.

Google Cloud 52

Google Cloud High Quality Data Business Intelligence Data Warehouse 52

DataKitchen

SEPTEMBER 21, 2023

L1 is usually the raw, unprocessed data ingested directly from various sources; L2 is an intermediate layer featuring data that has undergone some form of transformation or cleaning; and L3 contains highly processed, optimized, and typically ready for analytics and decision-making processes. What is Data in Use?

Raw Data 67

Raw Data Data Business Intelligence High Quality Data 67

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Banking 102

Banking Raw Data High Quality Data Business Intelligence 102