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

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

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 124

Data Integration Machine Learning Big Data Data Transformation 124

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 100

Data Warehouse Testing Data Quality Reporting 100

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

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. That takes its own time. The company’s Findability.ai

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

AWS Big Data

APRIL 11, 2023

ElastiCache manages the real-time application data caching, allowing your customers to experience microsecond response times while supporting high-throughput handling of hundreds of millions of operations per second. In the inventory management and forecasting solution, AWS Glue is recommended for data transformation.

Forecasting 72

Forecasting Management IoT Data-driven 72

CIO Business Intelligence

JANUARY 19, 2024

The certification requires passing three exams: Predictive Modeling Using SAS Enterprise Miner 14; SAS Advanced Predictive Modeling Using SAS 9.4; It covers programming skills; managing and improving data; transforming, accessing, and manipulating data; and how to work with popular data visualization tools.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

IBM Big Data Hub

OCTOBER 16, 2023

In other words, instead of training numerous models on labeled, task-specific data, it’s now possible to pre-train one big model built on a transformer and then, with additional fine-tuning, reuse it as needed. They offer an enterprise-ready dataset with trusted data that’s undergone negative and positive curation.

Risk 77

Risk Modeling Management Metadata 77

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 119

Data Transformation Interactive Machine Learning Testing 119

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

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 Strategy Internet of Things 144

Alation

MAY 11, 2023

Simply put, enterprises are increasingly seeking ways to take better advantage of their data and analytics to make data-informed decisions, strengthen the customer experience, and capitalize on cost-saving opportunities. David Chao brings more than 15 years of expertise in growing enterprise B2B SaaS businesses.

B2B 52

B2B Digital Transformation Marketing Data Processing 52

bridgei2i

NOVEMBER 17, 2020

The Lean AI wave can be imagined as a 4 step process: AI use case discovery: Identify the current processes amenable to data and AI driven improvement, design the solution roadmap and proactively think through the potential failure modes of enterprise adoption.

Deep Learning 85

Deep Learning Manufacturing Optimization Data-driven 85

AWS Big Data

APRIL 26, 2023

In 2019, the BMW Group decided to re-architect and move its on-premises data lake to the AWS Cloud to enable data-driven innovation while scaling with the dynamic needs of the organization. To learn more about the Cloud Data Hub, refer to BMW Group Uses AWS-Based Data Lake to Unlock the Power of Data.

Manufacturing 118

Manufacturing Forecasting Data Lake Big Data 118

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 85

Management Data Warehouse Digital Transformation Dashboards 85

Cloudera

APRIL 19, 2022

Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. .

Data-driven 94

Data-driven Data Strategy Strategy Big Data 94

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Paul Turley

DECEMBER 31, 2018

Speaking with Matthew Roche and Matt Masson about the new Power BI Dataflows announcement, they told me that Power Query is becoming a truly enterprise-class data transformation technology. I had a chance to catch up with two of the three Matts from the Power BI product team at PASS Summit 2018.

Data Transformation 40

Data Transformation Enterprise Technology 40

AWS Big Data

APRIL 19, 2023

However, when a data producer shares data products on a data mesh self-serve web portal, it’s neither intuitive nor easy for a data consumer to know which data products they can join to create new insights. This is especially true in a large enterprise with thousands of data products.

Technology 78

Technology Data-driven Machine Learning Sales 78

Alation

MAY 11, 2023

Simply put, enterprises are increasingly seeking ways to take better advantage of their data and analytics to make data-informed decisions, strengthen the customer experience, and capitalize on cost-saving opportunities. David Chao brings more than 15 years of expertise in growing enterprise B2B SaaS businesses.

B2B 40

B2B Digital Transformation Marketing Data Processing 40

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on.

Data Governance 40

Data Governance Risk Metadata Management 40

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

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 80

Enterprise Data Integration Data Quality Contextual Data 80

Ontotext

NOVEMBER 18, 2021

We can kind of do it within one enterprise, agreeing on certain templates, but when we start going cross-enterprise, or when we start integrating legacy data, it will be a lot of work doing that by hand. OntoRefine is a data transformation tool that lets you unite plenty of data formats and get them into your triplestore.

Visualization 98

Visualization Reporting Metadata Enterprise 98

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Business terms and data policies should be implemented through standardized and documented business rules.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

Cloudera

JULY 9, 2021

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. Learn how we can help you power public sector data transformation.

Data Strategy 112

Data Strategy Strategy Data-driven Machine Learning 112

IBM Big Data Hub

APRIL 14, 2023

The implementation also provided an enterprise-level profit and loss statement with the facility to include corporate expenses such as depreciation, taxation, etc. Focus areas include IBM solutions financial consolidation and reporting, and data transformation.

Forecasting 73

Forecasting Sales Dashboards Reporting 73

IBM Big Data Hub

JULY 28, 2023

Since its launch in 2020, DATA ONE has been successfully adopted by multinational companies across sectors, including insurance and banking, automotive, energy and utilities, manufacturing, logistics and telco. DATA ONE consists of three modules that can be activated as needed: Data Mover , a secure file-transfer enterprise solution.

Data Integration 60

Data Integration Optimization Software Insurance 60

Cloudera

AUGUST 3, 2022

By leveraging Hive to apply Ranger FGAC, Spark obtains secure access to the data in a protected staging area. Since Spark has direct access to the staged data, any Spark APIs can be used, from complex data transformations to data science and machine learning. .

Snapshot 90

Snapshot Cost-Benefit Machine Learning Data Transformation 90

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Cloudera

FEBRUARY 8, 2021

Basically, this script does the following: a) Gets the daily stocks data from the alpha vantage. b) Basic data transformation. c) Store the data in Cloudera Operational Database . In order to operationalize machine learning use cases like this, you need powerful tools that are easy-to-use, scalable, and enterprise-ready.

Machine Learning 76

Machine Learning Statistics Modeling Dashboards 76

bridgei2i

SEPTEMBER 3, 2020

PODCAST: AI for the Digital Enterprise. Episode 5: How Intelligent Operations can become prime advantage for enterprises. How Intelligent Operations can become prime advantage for enterprises. BRIDGEi2i AI accelerators are great examples of tools that enable Intelligent Operations, pan-enterprise, and at scale.

Enterprise 94

Enterprise Insurance Digital Transformation Interactive 94

Cloudera

DECEMBER 21, 2021

In working with thousands of customers deploying Spark applications, we saw significant challenges with managing Spark as well as automating, delivering, and optimizing secure data pipelines. We wanted to develop a service tailored to the data engineering practitioner built on top of a true enterprise hybrid data service platform.

Snapshot 120

Snapshot Data-driven Optimization Management 120

AWS Big Data

AUGUST 9, 2023

The advent of rapid adoption of serverless data lake architectures—with ever-growing datasets that need to be ingested from a variety of sources, followed by complex data transformation and machine learning (ML) pipelines—can present a challenge.

Data Lake 83

Data Lake Metrics Testing Cost-Benefit 83

FineReport

MARCH 7, 2024

This contemplation is paramount in the realm of data analysis reporting, where the practical application of big data takes center stage. Delving into the intricacies of generating insights and facilitating informed decision-making for enterprises, such as achieving precision in advertising placement, is at the heart of this discourse.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

CDW Research Hub

OCTOBER 25, 2019

As we review data transformation and modernization strategies with our clients, we find many are investigating Snowflake as a data warehouse solution due to its ease of use, speed, and increased flexibility over a traditional data warehouse offering.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40