CIO Business Intelligence

FEBRUARY 27, 2025

Additionally, integrating mainframe data with the cloud enables enterprises to feed information into data lakes and data lake houses, which is ideal for authorized data professionals to easily leverage the best and most modern tools for analytics and forecasting. Four key challenges prevent them from doing so: 1.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

AWS Big Data

JANUARY 15, 2025

With a unified catalog, enhanced analytics capabilities, and efficient data transformation processes, were laying the groundwork for future growth. Amazon DataZone empowers EUROGATE by setting the stage for long-term operational excellence and scalability.

IoT 100

IoT Machine Learning Metadata Data-driven 100

Smart Data Collective

APRIL 29, 2020

Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. Extraction, Transform, Load (ETL).

Management 97

Management Data Warehouse Digital Transformation Dashboards 97

CIO Business Intelligence

FEBRUARY 16, 2023

But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. Digitizing was our first stake at the table in our data journey,” he says.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Alation

OCTOBER 26, 2021

Building a Data Culture Within a Finance Department. Our finance users tell us that their first exposure to the Alation Data Catalog often comes soon after the launch of organization-wide data transformation efforts. After all, finance is one of the greatest consumers of data within a business.

Finance 52

Finance Data Transformation Enterprise Metrics 52

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

CIO Business Intelligence

APRIL 8, 2025

One thing is clear for leaders aiming to drive trusted AI, resilient operations and informed decisions at scale: transformation starts with data you can trust. As a leader, your commitment to data quality sets the tone for the entire organization, inspiring others to prioritize this crucial aspect of digital transformation.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

APRIL 26, 2023

We also split the data transformation into several modules (Data Aggregation, Data Filtering, and Data Preparation) to make the system more transparent and easier to maintain. Although each module is specific to a data source or a particular data transformation, we utilize reusable blocks inside of every job.

Forecasting 129

Forecasting Manufacturing Data Lake Big Data 129

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics examples.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

AUGUST 3, 2023

At Paytronix, which manages customer loyalty, online ordering, and other systems for its customers, director of data science ­Jesse Marshall wanted to reduce the custom coding of data transformations—the conversion, cleaning, and structuring of data into a form usable for analytics and reports.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

AWS Big Data

NOVEMBER 15, 2023

The difference lies in when and where data transformation takes place. In ETL, data is transformed before it’s loaded into the data warehouse. In ELT, raw data is loaded into the data warehouse first, then it’s transformed directly within the warehouse.

Dashboards 106

Dashboards Analytics Metadata Data Warehouse 106

Alation

MAY 11, 2023

Our growth and further expansion of our team in the region underscores the strong demand for global cloud services and data intelligence , highlighting the tremendous market opportunity for digital transformation. And we’re not done growing our team yet!

B2B 52

B2B Digital Transformation Marketing Data Processing 52

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. Gokhul has over 19 years of Healthcare experience helping organizations with digital transformation, platform modernization, and deliver business outcomes.

Visualization 110

Visualization Dashboards Data-driven Gap analysis 110

Cloudera

APRIL 12, 2021

As Cussatt put it, “data transformation isn’t about the IT, but about enabling the mission to be able to serve the veterans.” Digital transformation can be an overwhelming undertaking. Join us for Emerging Tech Day on April 21 for more on how to maximize your agency’s digital transformation. .

Enterprise 53

Enterprise IT Digital Transformation Data Warehouse 53

AWS Big Data

JULY 6, 2023

It has not been specifically designed for heavy data transformation tasks. He enjoys supporting customers in their digital transformation journey, using big data and machine learning to help solve their business challenges. You also use AWS Glue to consolidate the files produced by the parallel tasks.

Machine Learning 136

Machine Learning Visualization IoT Digital Transformation 136

bridgei2i

SEPTEMBER 3, 2020

My name is Arjun Shenoy, and I help companies succeed in their AI-enabled digital transformation efforts. I’m a director with BRIDGEi2i, and I focus on building assets and solutions that support execution and quick ROI on client’s digital programs. Transcript. Arjun: Hey, hi there.

Enterprise 94

Enterprise Insurance Digital Transformation Interactive 94

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 109

Analytics IoT Metadata Internet of Things 109

AWS Big Data

DECEMBER 21, 2023

The data products from the Business Vault and Data Mart stages are now available for consumers. smava decided to use Tableau for business intelligence, data visualization, and further analytics. The data transformations are managed with dbt to simplify the workflow governance and team collaboration.

Data Lake 103

Data Lake Data Warehouse Data-driven B2B 103

Alation

MAY 11, 2023

Our growth and further expansion of our team in the region underscores the strong demand for global cloud services and data intelligence , highlighting the tremendous market opportunity for digital transformation. And we’re not done growing our team yet!

B2B 40

B2B Digital Transformation Marketing Data Processing 40

Alation

JULY 18, 2022

Through this partnership, Alation will help to scale governance policies for the lakehouse and foster data democratization for all users, so people can easily find and understand projects from the lakehouse and beyond. The Power of Partnership to Accelerate Data Transformation. Conclusion.

ROI 52

ROI Metadata Data Lake Digital Transformation 52

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 81

Data Quality Metrics Data-driven Visualization 81

AWS Big Data

OCTOBER 18, 2023

About the authors Amit Maindola is a Senior Data Architect focused on big data and analytics at Amazon Web Services. Melody Yang is a Senior Big Data Solutions Architect for Amazon EMR at AWS. Her areas of interests are open-source frameworks and automation, data engineering, and DataOps.

Big Data 91

Big Data Data Processing Interactive Testing 91

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.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

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

Alation

NOVEMBER 22, 2022

A firm data governance foundation doesn’t just prevent private data from being stolen – it builds trust and accountabiity within data teams and across the public they aim to serve. What Are The Data Challenges Facing The Public Sector? The Alation Data Catalog has helped the State of Tennessee accomplish this and more.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 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 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

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.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

Sisense

FEBRUARY 26, 2020

In Transform to Win , we explore the challenges facing modern companies, diving into their individual digital transformations and the people who drive them. We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Become data-driven to succeed.

Digital Transformation 90

Digital Transformation Analytics Big Data Data-driven 90

CIO Business Intelligence

AUGUST 7, 2024

We recognized AI’s potential to revolutionize the digital landscape and understood that the conventional SOC model needed to evolve.”

IT 119

IT Insurance Cost-Benefit Testing 119

Sisense

MAY 14, 2019

What was once a bold prediction is becoming more obvious by the day; current leaders in every industry are either disruptors that dominate legacy industries leveraging big data, or they’re traditional enterprises that see data as an opportunity to transform their products and services. Analytic builders of the world: Unite!

Data-driven 49

Data-driven Machine Learning Business Intelligence Consulting 49

CIO Business Intelligence

MARCH 26, 2025

Then figure out what data you need, and the systems you need to interface with, to get to that outcome. Instead of trying to boil the ocean before you see any return, focus on your data transformation one outcome at a time.

Data Quality 129

Data Quality Forecasting Unstructured Data Data-driven 129