Precisely

SEPTEMBER 25, 2023

Read Turning Raw Data into Meaningful Insights Even though organizations value data-driven decision-making more than ever before, data quality remains a major barrier across industries. So how does the data validation process help on the journey to better data quality and ultimately, data integrity?

Data Validation 100

Data Validation Process Raw Data Data Cleanse 100

Cloudera

AUGUST 21, 2021

million customers worldwide, recognized how the immense volume of data they maintained could provide better insight into customers’ needs. Since leveraging Cloudera’s data platform, Rabobank has been able to improve its customers’ financial management. Rabobank , headquartered in the Netherlands with over 8.3

Banking 103

Banking Raw Data High Quality Data Cloud 103

DataKitchen

SEPTEMBER 21, 2023

This proactive approach to data quality guarantees that downstream analytics and business decisions are based on reliable, high-quality data, thereby mitigating the risks associated with poor data quality. There are multiple locations where problems can happen in a data and analytic system.

Raw Data 69

Raw Data Data Business Intelligence Data Engineer 69

Striim

APRIL 30, 2024

Striim’s Solution Kramp adopted Striim for its powerful, mature real-time data integration, seamlessly connecting diverse databases like Oracle, Microsoft, and Postgres, to ensure continuous, high-quality data replication essential for forecasting and order management.

Google Cloud 52

Google Cloud High Quality Data Business Intelligence Data Warehouse 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. This functionality is critical for not only fixing current issues but also preventing future ones.

Data Cleanse 52

Data Cleanse Telecommunication High Quality Data BI 52

Data Science Blog: Data Engineering

AUGUST 22, 2024

Real-time data preparation tools allow companies to react quickly to new information, maintaining a competitive edge in fast-paced industries. Improved Data Integration Data often comes from various sources, and integrating this data smoothly is essential.

Data Preparation 52

Data Preparation Transportation High Quality Data Data Science 52

Monte Carlo

JANUARY 5, 2024

The 5 key layers of data lakehouse architecture Storing structured and unstructured data in a data lakehouse presents many benefits to a data organization, namely making it easier and more seamless to support both business intelligence and data science workloads. This starts at the data source.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

The 5 key layers of data lakehouse architecture Storing structured and unstructured data in a data lakehouse presents many benefits to a data organization, namely making it easier and more seamless to support both business intelligence and data science workloads. This starts at the data source.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Ascend.io

JUNE 8, 2023

Is it possible to treat data not just as a necessary operational output, but as a product that holds immense strategic value? Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Monte Carlo

MAY 17, 2023

Keeping these revenue generators online and accurate is a common data observability use case. Move Your Generative AI Strategy From Pitch Deck To Reality If generative AI is a gold rush, high quality data is the pickaxe. We didn’t have good visibility into the data health of the organization.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Keeping these revenue generators online and accurate is a common data observability use case. Move Your Generative AI Strategy From Pitch Deck To Reality If generative AI is a goldrush, high quality data is the pickaxe. We didn’t have good visibility into the data health of the organization.

Data Pipeline 52

Data Pipeline Data Engineering Data Engineer Data 52

RandomTrees

MAY 6, 2025

Modern data engineering can help with this. It creates the systems and processes needed to gather, clean, transfer, and prepare data for AI models. Without it, AI technologies wouldn’t have access to high-quality data. AI and Data Synergy AI and data engineering have a symbiotic relationship.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Cleanse 52

DataKitchen

NOVEMBER 27, 2024

Data Source-Focused Data Quality Dashboards A data source-focused dashboard assesses data quality by analyzing its origin, enabling organizations to identify sources that consistently provide low-quality data and take corrective actions.

Banking 86

Banking Data Datasets Retail 86

Striim

JANUARY 8, 2025

Operational analytics, a subset of business analytics, focuses on improving and optimizing daily operations within an organization. Real-time, enriched data enables segmentation of customers into distinct categories, allowing tailored messaging that addresses specific pain points. What Is Operational Analytics?

BI 52

BI Business Analyst Retail Raw Data 52