CIO Business Intelligence

FEBRUARY 27, 2025

A high hurdle many enterprises have yet to overcome is accessing mainframe data via the cloud. Giving the mobile workforce access to this data via the cloud allows them to be productive from anywhere, fosters collaboration, and improves overall strategic decision-making. Four key challenges prevent them from doing so: 1.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

Alation

OCTOBER 26, 2021

Today’s best-performing organizations embrace data for strategic decision-making. Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. They need trusted data to drive reliable reporting, decision-making, and risk reduction.

Finance 52

Finance Data Transformation Enterprise Metrics 52

CIO Business Intelligence

DECEMBER 9, 2024

New advancements in GenAI technology are set to create more transformative opportunities for tech-savvy enterprises and organisations. These developments come as data shows that while the GenAI boom is real and optimism is high, not every organisation is generating tangible value so far. 3] Preparation. Operations.

Technology 98

Technology Insurance Interactive Reporting 98

CIO Business Intelligence

JANUARY 8, 2025

Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. Are they truly enhancing productivity and reducing costs?

Data Processing 139

Data Processing Optimization Modeling Enterprise 139

Dataiku

AUGUST 28, 2019

With all the media hype and coverage around AI, one might think that every company out there has Enterprise AI all figured out and is extremely mature in their data journey. However, we surveyed more than 350 data professionals and found a different story.

Enterprise 21

Enterprise Data Transformation Data Strategy Strategy 21

AWS Big Data

NOVEMBER 16, 2023

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault. Data Vault 2.0

Enterprise 111

Enterprise Data Warehouse Data Lake Optimization 111

CIO Business Intelligence

APRIL 8, 2025

In this article, I am drawing from firsthand experience working with CIOs, CDOs, CTOs and transformation leaders across industries. I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. Inflexible schema, poor for unstructured or real-time data.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Octopai

NOVEMBER 13, 2022

The modern data stack is a data management system built out of cloud-based data systems. A given modern data stack will usually include components for data ingestion from your data sources, data transformation, data storage, data analysis and reporting.

Enterprise 97

Enterprise Data Warehouse Reporting Metadata 97

Wayne Yaddow

FEBRUARY 18, 2025

Selecting the strategies and tools for validating data transformations and data conversions in your data pipelines. Introduction Data transformations and data conversions are crucial to ensure that raw data is organized, processed, and ready for useful analysis.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

Wayne Yaddow

MARCH 14, 2025

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

AWS Big Data

DECEMBER 4, 2024

Under the federated mesh architecture, each divisional mesh functions as a node within the broader enterprise data mesh, maintaining a degree of autonomy in managing its data products. This model balances node or domain-level autonomy with enterprise-level oversight, creating a scalable and consistent framework across ANZ.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

IBM Big Data Hub

JANUARY 9, 2024

ELT tools such as IBM® DataStage® facilitate fast and secure transformations through parallel processing engines. In 2023, the average enterprise receives hundreds of disparate data streams, making efficient and accurate data transformations crucial for traditional and new AI model development.

Enterprise 71

Enterprise Data Integration Data Quality Contextual Data 71

AWS Big Data

OCTOBER 30, 2024

This integration enables our customers to seamlessly explore data with AI in Tableau, build visualizations, and uncover insights hidden in their governed data, all while leveraging Amazon DataZone to catalog, discover, share, and govern data across AWS, on premises, and from third-party sources—enhancing both governance and decision-making.”

Visualization 119

Visualization Data Lake Testing Data Governance 119

Smart Data Collective

OCTOBER 20, 2021

Organizations must adopt transformative technologies like Artificial Intelligence (AI) and Machine Learning (ML) to harness the true potential of data, drive decision making, and ultimately improve ease of doing business. Why is Data Integration a Challenge for Enterprises? What Are the Major Roadblocks?

Data Integration 133

Data Integration Machine Learning Big Data Statistics 133

CIO Business Intelligence

NOVEMBER 17, 2022

The top five KPIs for CDOs include operational efficiency, data privacy and protection, productivity and capacity, innovation and revenue, and customer satisfaction and success. And 87% of CXOs said that “becoming a more intelligent enterprise is their top priority by 2025,” with 52% of CDOs reporting to a business leader.

Data Governance 128

Data Governance Data Transformation Strategy Reporting 128

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 111

Metadata Data Lake Visualization Data Transformation 111

Cloudera

APRIL 12, 2021

The United States Veterans Administration (VA) over the last decade underwent a massive enterprise-wide IT transformation, eliminating its fragmented shadow IT and adopting a centralized system capable of supporting the agency’s 400,000 employees and more effectively utilizing its $240 billion-plus annual budget.

Enterprise 53

Enterprise IT Digital Transformation Data Warehouse 53

DataKitchen

JULY 27, 2023

It provides data prep, management, and enterprise data warehousing tools. It has a data pipeline tool , as well. Azure Logic Apps: This service helps you schedule, automate, and orchestrate tasks, business processes, and workflows when integrating apps, data, systems, and services across enterprises or organizations.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

datapine

SEPTEMBER 29, 2022

No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

Artificial Intelligence and generative AI are beginning to change how enterprises do many things, especially planning and budgeting. This organization would be responsible for supporting the planning activities of individual business units of an enterprise.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

CIO Business Intelligence

FEBRUARY 20, 2024

The data transformation imperative What Denso and other industry leaders realise is that for IT-OT convergence to be realised, and the benefits of AI unlocked, data transformation is vital. The company can also unify its knowledge base and promote search and information use that better meets its needs.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

CIO Business Intelligence

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. It’s a fluid situation.”

Analytics 130

Analytics Machine Learning Data mining Software 130

O'Reilly on Data

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. Model Development.

IT 364

IT Testing Experimentation Software 364

erwin

MARCH 4, 2021

Instead, he suggests they put data governance in real-world scenarios to answer these questions: “What is the problem you believe data governance is the answer to?” Or “How would you recognize having effective data governance in place?”. The Benefits of erwin Data Intelligence. Where is it?

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data.

Data Warehouse 97

Data Warehouse Machine Learning Visualization Data Lake 97

AWS Big Data

JANUARY 6, 2025

With Amazon AppFlow, you can run data flows at nearly any scale and at the frequency you chooseon a schedule, in response to a business event, or on demand. You can configure data transformation capabilities such as filtering and validation to generate rich, ready-to-use data as part of the flow itself, without additional steps.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

AWS Big Data

NOVEMBER 9, 2023

It does this by helping teams handle the T in ETL (extract, transform, and load) processes. It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Data pipeline dbt, an open-source tool, can be installed in the AWS environment and set up to work with Amazon MWAA.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

CIO Business Intelligence

JUNE 13, 2022

The volume of work coming at IT is one of the top issues identified by CIOs, researchers, and executive advisors, or as Elizabeth Hackenson, CIO of Schneider Electric, puts it: “The accelerated demand for digital capabilities throughout the enterprise simultaneously.”. “In Maturing the enterprise cloud strategy. Cost containment.

IT 144

IT Digital Transformation Internet of Things Strategy 144

CIO Business Intelligence

OCTOBER 11, 2022

AWS’s expertise with scaling cloud services was invaluable in helping AstraZeneca build an end-to-end machine learning platform, called AI Bench, to make it easier to apply machine learning across the enterprise. “AI Four ways to improve data-driven business transformation . Start small, think big, and scale fast. “You

Machine Learning 145

Machine Learning Data Science Data-driven Testing 145

Cloudera

OCTOBER 19, 2021

Today, customers have deployed 100s of Airflow DAGs in production performing various data transformation and preparation tasks, with differing levels of complexity. This combined with Cloudera Data Engineering’s (CDE) first-class job management APIs and centralized monitoring is delivering new value for modernizing enterprises.

Data Transformation 120

Data Transformation Interactive Machine Learning Testing 120

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. For many enterprises, Microsoft Azure has become a central hub for analytics. Microsoft.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

JULY 18, 2024

OpenSearch is an open source, distributed search engine suitable for a wide array of use-cases such as ecommerce search, enterprise search (content management search, document search, knowledge management search, and so on), site search, application search, and semantic search.

Dashboards 115

Dashboards Testing Data-driven Visualization 115

Cloudera

OCTOBER 11, 2021

Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu. Also, enterprises can tap into new technologies like Kubernetes.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. Maintaining lists of possible values for the columns requires continuous updates.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

Smart Data Collective

APRIL 29, 2020

The techniques for managing organisational data in a standardised approach that minimises inefficiency. Extraction, Transform, Load (ETL). The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation.

Management 98

Management Data Warehouse Digital Transformation Dashboards 98