CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

AWS Big Data

JANUARY 15, 2025

cycle_end"', "sagemakedatalakeenvironment_sub_db", ctas_approach=False) A similar approach is used to connect to shared data from Amazon Redshift, which is also shared using Amazon DataZone. AWS Database Migration Service (AWS DMS) is used to securely transfer the relevant data to a central Amazon Redshift cluster.

IoT 100

IoT Machine Learning Metadata Data-driven 100

CIO Business Intelligence

DECEMBER 1, 2022

“Me coming in from the outside and proposing so much change — the associates and midlevel management are the ones that must be empowered and that is the most difficult aspect of any kind of transformation.” One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation. “I

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

AWS Big Data

DECEMBER 12, 2024

Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios. In this post, we use dbt for data modeling on both Amazon Athena and Amazon Redshift. Here, data modeling uses dbt on Amazon Redshift.

Snapshot 78

Snapshot Recreation/Entertainment Experimentation Data Lake 78

BI-Survey

NOVEMBER 23, 2021

However, the operational data stored in data silos was not suitable for this task. Many companies therefore built a data warehouse to consolidate their operational data silos. Data-based insights are being used to automate decisions. Data black holes: the high cost of supposed flexibility.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

Sisense

JULY 22, 2020

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

IBM Big Data Hub

APRIL 24, 2023

Unexpected situations like the COVID-19 pandemic and the ongoing macroeconomic atmosphere are wake-up calls for companies worldwide to exponentially accelerate digital transformation. Data is reported from one central repository, enabling management to draw more meaningful business insights and make faster, better decisions.

Data Warehouse 88

Data Warehouse Data Lake Cost-Benefit Big Data 88

CIO Business Intelligence

MARCH 29, 2024

Modernizing data operations CIOs like Woodring know well that the quality of an AI model depends in large part on the quality of the data involved — and how that data is injected from databases, data warehouses, cloud data lakes, and the like into large language models.

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

CIO Business Intelligence

AUGUST 3, 2022

“To solve this, we’ve kept data engineering in IT, but embedded machine learning experts in the business functions. Core customer data stays pristine in the data warehouse, but the business functions can experiment in a cloud-based enterprise data lake. Transformational leadership.

Finance 145

Finance IoT Digital Transformation Sales 145

AWS Big Data

OCTOBER 9, 2024

Today, customers are embarking on data modernization programs by migrating on-premises data warehouses and data lakes to the AWS Cloud to take advantage of the scale and advanced analytical capabilities of the cloud. The following diagram illustrates this use case’s historical data migration architecture.

Data Quality 95

Data Quality Data Lake Data Warehouse Metrics 95

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

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Data Lake Data Warehouse Data-driven B2B 103

CIO Business Intelligence

JULY 24, 2022

Digital transformation has continued to gain space across public and private sectors. As IT is the fuel for digitisation, enterprise technology leaders are increasingly being sought after by companies. CIO Australia consistently tracks the moves of IT leaders. IT Leadership

IT 98

IT Data Lake Data Warehouse Digital Transformation 98

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

OCTOBER 19, 2022

CIOs at the center of digital transformation Even as I write this, I realize that my first three quotes are not from chief information officers, but from chief information digital officers. These “digital” executives typically manage the IT organization, but their title signifies something more.

IT 124

IT Data Warehouse Digital Transformation Risk 124

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

Alation

AUGUST 4, 2022

In this article, we’ll take stock of what big data has achieved from a c-suite perspective (with special attention to business transformation and customer experience.). Big Data as an Enabler of Digital Transformation. Big data technologies have been foundational to digital transformation.

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95

CIO Business Intelligence

DECEMBER 21, 2022

Stout, for instance, explains how Schellman addresses integrating its customer relationship management (CRM) and financial data. “A A lot of business intelligence software pulls from a data warehouse where you load all the data tables that are the back end of the different software,” she says. “Or

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

AWS Big Data

MARCH 5, 2025

Quick setup enables two default blueprints and creates the default environment profiles for the data lake and data warehouse default blueprints. You will then publish the data assets from these data sources. Blueprint: Select Default Data Lake. Blueprint : Select Default Data Warehouse.

Analytics 59

Analytics Publishing Metadata Sales 59

Timo Elliott

JUNE 19, 2023

With SAP Signavio, you can use Business Process Insights to see whether opportunities for these new composable applications, and then accompany any kind of digital transformation project. The next area is data. There’s a huge disruption around data.

Data Lake 105

Data Lake Digital Transformation Recreation/Entertainment Technology 105

Data Virtualization

OCTOBER 5, 2022

For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

Data Lake 52

Data Lake Data Architecture Data Integration Management 52

CIO Business Intelligence

AUGUST 3, 2023

As well as keeping its current data accurate and accessible, the company wants to leverage decades of historical data to identify potential risks to ship operations and opportunities for improvement. Each of the acquired companies had multiple data sets with different primary keys, says Hepworth. “We

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

Cloudera

MAY 3, 2021

Pages can be written on this topic, from addressing proof of concept scale-up planning and execution to organizational changes that are needed for successful digital transformation. Benefits of Streaming Data for Business Owners. Data democratization directly contributes to optimized agility and, if built properly, scalability.

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Cost-Benefit Digital Transformation Data Lake Enterprise 103

CIO Business Intelligence

SEPTEMBER 8, 2022

The experts offered several practical examples of how real-time data can help deliver continuous improvement in a variety of areas across the business, with the help of automation, which is a key capability for making data actionable. “In This means that all changes, all transitions, are instantaneous.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

erwin

APRIL 2, 2021

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business. erwin Data Intelligence.

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106

AWS Big Data

APRIL 4, 2024

With a powerful set of solutions, Aura enables complete digital transformation, letting operators promote key services outside the store, directly on-device. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Big Data 77

Big Data Data Warehouse Advertising OLAP 77

CIO Business Intelligence

OCTOBER 18, 2022

One pulse sends 150 bytes of data. So, each band can send out 500KB to 750KB of data. To handle the huge volume of data thus generated, the company is in the process of deploying a data lake, data warehouse, and real-time analytical tools in a hybrid model. Digital Transformation, RFID

Data Lake 98

Data Lake Data Warehouse Cost-Benefit Digital Transformation 98

AWS Big Data

MAY 28, 2024

The details of each step are as follows: Populate the Amazon Redshift Serverless data warehouse with company stock information stored in Amazon Simple Storage Service (Amazon S3). Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 102

Unstructured Data Data Warehouse Structured Data Testing 102

CIO Business Intelligence

JULY 10, 2024

Utilizamos Azure Data Factory para el proceso de extracción y ETL, el cual genera un data lake con toda la información consolidada almacenándose en un data warehouse basado en tecnología SQL. (Epsilon) y datos en Excel alojados en Sharepoint.

Data Lake 105

Data Lake Big Data Deep Learning Data Warehouse 105

Cloudera

MAY 12, 2021

The 2021 Cloudera Data Impact Award categories aim to recognize organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. Enterprise Data Cloud: West Midlands Police — WMP public cloud data platform allows fast data insights and positive community interventions

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. Without context, streaming data is useless.”

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Jet Global

JANUARY 6, 2021

It provides a robust, scalable IT infrastructure and stronger integration capabilities that open the door for broader adoption of digital transformation technologies. By using a data warehouse as a means for automating data migration , companies can periodically push data from their live system to a test or development environment.

Cost-Benefit 98

Cost-Benefit Testing Finance Reporting 98

CIO Business Intelligence

JUNE 6, 2023

This idea, which is sometimes called a “data mesh,” is compelling to the many organizations seeking to both digitally transform and become more data driven. The same should apply to the data that people in organizations need.” However, most enterprises treat data as a centralized and protected asset.

Management 52

Management Data Warehouse Data Lake Digital Transformation 52

Alation

FEBRUARY 13, 2020

A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

BI-Survey

DECEMBER 22, 2020

The goal is to optimize company data in terms of a common vision in a cooperative and iterative way and thus to accelerate the digital transformation on the basis of data. Architecture and technology play an important role in the transition to a data-driven enterprise. Individuals adapt to the corporate system.

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52