Anmut

MARCH 24, 2022

Over 70% of digital transformations fail, and most CDOs last less than two-and-half years. It’s possible to finally break the bad data cycle and achieve true data transformation — and it all starts with gaining a fundamental understanding of your organisation’s data landscape.

ROI 52

ROI Measurement Data-driven Data Transformation 52

AWS Big Data

MARCH 13, 2024

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. During his professional career, he has been extensively involved in complex digital transformation projects.

Analytics 103

Analytics IoT Metadata Internet of Things 103

AWS Big Data

JUNE 6, 2023

Furthermore, it allows for necessary actions to be taken, such as rectifying errors in the data source, refining data transformation processes, and updating data quality rules. This proactive approach helps mitigate the risk of making decisions based on inaccurate information.

Data Quality 77

Data Quality Metrics Data-driven Visualization 77

CIO Business Intelligence

DECEMBER 6, 2023

Often, tech vendors act as an extended workforce, providing manpower and technological expertise for their client’s digital transformation journey. When taking this to the next level, vendor partners act as co-innovators, helping businesses craft winning strategies based on innovation.

Digital Transformation 116

Digital Transformation Software Cost-Benefit Manufacturing 116

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. Hospitals, payors, brokers, underwriters, and other healthcare stakeholders can use this architecture to analyze and draw insights from pricing data published by hospitals of their choice.

Visualization 104

Visualization Dashboards Data-driven Gap analysis 104

Alation

OCTOBER 28, 2021

Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. In other words, they use data to heal more people and save more lives. Increase patient engagement.

Data Governance 52

Data Governance Measurement Metrics Modeling 52

IBM Big Data Hub

JULY 17, 2023

” Raman Venkatraman, CEO of STL Digital Watsonx.data is truly open and interoperable. Real-time analytics and BI: Combine data from existing sources with new data to unlock new, faster insights without the cost and complexity of duplicating and moving data across different environments.

Machine Learning 66

Machine Learning Data Warehouse Modeling Cost-Benefit 66

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

Alation

NOVEMBER 22, 2022

Identifying structured and unstructured data. Setting data management policies, like tagging data. A comprehensive data governance strategy ensures that you have quality data so you can leverage insights for data-driven decision making. Why Is Data Governance In The Public Sector Important?

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Birst BI

FEBRUARY 25, 2020

The benefits of Birst’s cloud-native analytics platform powered by Snowflake’s world-class cloud data warehouse are numerous, especially as cloud becomes the first choice for enterprise data transformation initiatives. Mona Patel works in Infor’s Industry & Solution Strategy team.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52