AWS Big Data

DECEMBER 10, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets.

Sales 105

Sales Metadata Enterprise Testing 105

Octopai

MARCH 31, 2021

Ever reflect on what it would be like to be a piece of data that enters your BI system? It ain’t easy being data. Then again, it ain’t easy to be a BI developer trying to track data through a stream of twists, turns, transformations, and multiple BI systems. Honey, I’m home! Now I’ll just sit down on my recliner and… hey!

Metadata 133

Metadata Data Transformation Business Intelligence Reporting 133

CIO Business Intelligence

JANUARY 13, 2023

In a bid to help retailers transform their in-store, inventory-checking processes and enhance their e-commerce sites, Google on Friday said that it is enhancing Google Cloud for Retailers with a new shelf-checking, AI-based capability, and updating its Discovery AI and Recommendation AI services.

Machine Learning 133

Machine Learning Sales Optimization Visualization 133

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

Data Quality 115

Data Quality Measurement Testing Visualization 115

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. The session also highlights Duke Energy’s journey with Lake Formation and the AWS Glue Data Catalog.

Data Lake 119

Data Lake Metadata Data Governance Statistics 119

AWS Big Data

SEPTEMBER 26, 2024

In today’s rapidly evolving digital landscape, enterprises across regulated industries face a critical challenge as they navigate their digital transformation journeys: effectively managing and governing data from legacy systems that are being phased out or replaced.

Data Governance 116

Data Governance Enterprise Management Data Lake 116

AWS Big Data

SEPTEMBER 13, 2024

In recent years, driven by the commoditization of data storage and processing solutions, the industry has seen a growing number of systematic investment management firms switch to alternative data sources to drive their investment decisions. Each team is the sole owner of its AWS account.

Interactive 112

Interactive Strategy Cost-Benefit Data Governance 112

CIO Business Intelligence

JULY 23, 2024

As a digital transformation leader and former CIO, I carry a healthy dose of paranoia. Is the organization transforming fast enough? As a digital trailblazer, much of my paranoia involves issues that could derail transformation , but it’s the operational and security risks that truly keep me up at night.

Risk 142

Risk IT Risk Management Cost-Benefit 142

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. You should still get the book because it is a fantastic 250-page masterpiece for data scientists!) How does one express “context” in a data model?

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 111

Data Quality Data Governance Data Lake Testing 111

CIO Business Intelligence

SEPTEMBER 12, 2024

Now that AI can unravel the secrets inside a charred, brittle, ancient scroll buried under lava over 2,000 years ago, imagine what it can reveal in your unstructured data–and how that can reshape your work, thoughts, and actions. Unstructured data has been integral to human society for over 50,000 years.

Unstructured Data 111

Unstructured Data Deep Learning Metadata Structured Data 111

AWS Big Data

MARCH 5, 2025

Data sharing has become a crucial aspect of driving innovation, contributing to growth, and fostering collaboration across industries. According to this Gartner study , organizations promoting data sharing outperform their peers on most business value metrics. Data publishers : Users in producer AWS accounts.

Analytics 66

Analytics Publishing Metadata Sales 66

AWS Big Data

SEPTEMBER 19, 2023

Chime’s Risk Analysis team constantly monitors trends in our data to find patterns that indicate fraudulent transactions. However, our legacy data warehouse-based solution was not equipped for this challenge. To make high-quality decisions, we need to collect user event data from various sources and update risk profiles in real time.

Analytics 110

Analytics Risk Big Data Machine Learning 110

CIO Business Intelligence

OCTOBER 11, 2022

To accelerate growth through innovation, the company is expanding its use of data science and artificial intelligence (AI) across the business to improve patient outcomes. . This initiative alone has generated an explosion in the quantity and complexity of data the company collects, stores, and analyzes for insights. . “We

Machine Learning 145

Machine Learning Data Science Data-driven Testing 145

CIO Business Intelligence

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Are data science teams set up for success? Are they working on problems that can yield meaningful business outcomes?

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Big data should be leveraged to execute any GTM campaign. Christian Welborn recently published an article on taking a data-driven approach to GTM.

Marketing 137

Marketing Data Analytics Analytics Big Data 137

CIO Business Intelligence

AUGUST 16, 2022

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.

Visualization 145

Visualization Cost-Benefit IoT Digital Transformation 145

CIO Business Intelligence

APRIL 24, 2024

The multinational IT services giant aims to leverage the tools internally to streamline workflows, improve efficiency, and enhance customer experiences. This partnership provides CIOs with access to AI tools that can greatly accelerate innovation and improve customer experiences.”

Enterprise 128

Enterprise Digital Transformation Consulting Uncertainty 128

Smart Data Collective

JANUARY 30, 2023

Data analytics technology has become a very important element of modern marketing. One of the ways that big data is transforming marketing is through SEO. We have previously talked about data-driven SEO. However, we feel that it is time to have a more nuanced discussion about using big data in SEO.

Marketing 115

Marketing Data Analytics Analytics Data-driven 115

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco. Data takes a long journey.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

CIO Business Intelligence

FEBRUARY 26, 2024

More certain is that genAI’s transformative function—automating content creation—will alter how people work. Staff proficient in the practical application of AI tools in the context of enterprises will elevate their organizations’ capabilities. GenAI is poised to do likewise, but on an exponential scale.

Software 111

Software Modeling Technology Marketing 111

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Smart Data Collective

AUGUST 11, 2022

Human labeling and data labeling are however important aspects of the AI function as they help to identify and convert raw data into a more meaningful form for AI and machine learning to learn. Artificial Intelligence, in turn, needs to process data to make conclusions. How Artificial Intelligence is Impacting Data Quality.

Data Quality 139

Data Quality Machine Learning Digital Transformation Big Data 139

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Text, images, audio, and videos are common examples of unstructured data. After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

CIO Business Intelligence

OCTOBER 3, 2023

Nick Purday, IT director, EDT ConocoPhillips Shifting people away from production facilities to an office has required new tools. The company also leverages digital twins to answer more complex and data-intensive questions such as, “What are the optimal production parameters to maximize the profitability of this facility?”

Digital Transformation 122

Digital Transformation Cost-Benefit Data Processing Optimization 122

CIO Business Intelligence

JUNE 28, 2024

Today, that operation, undertaken by the US Marine Depot Maintenance Command (MDMC), is better oiled thanks to a transformation grounded in IT. Out with the old In November 2022, MDMC launched a huge digital transformation project to bring modern IT capabilities, including RFID, AR/VR, and 5G networks to the two depots.

Digital Transformation 101

Digital Transformation Cost-Benefit Manufacturing Data-driven 101

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business. Project CloudCost — design.

IT 89

IT Data Warehouse Dashboards Visualization 89

CIO Business Intelligence

SEPTEMBER 23, 2024

Data-driven insights are only as good as your data Imagine that each source of data in your organization—from spreadsheets to internet of things (IoT) sensor feeds—is a delegate set to attend a conference that will decide the future of your organization.

Manufacturing 122

Manufacturing Internet of Things Metadata Risk 122

AWS Big Data

DECEMBER 4, 2024

In today’s data-driven world , organizations are constantly seeking efficient ways to process and analyze vast amounts of information across data lakes and warehouses. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

Data Lake 116

Data Lake Metadata Insurance Data-driven 116

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. From enhancing data lakes to empowering AI-driven analytics, AWS unveiled new tools and services that are set to shape the future of data and analytics.

Analytics 66

Analytics Data Lake Metadata Data Warehouse 66

Domino Data Lab

FEBRUARY 19, 2021

Newly trained and retrained transformer-based pipelines that lift accuracy scores significantly. Improved transformer-based pipelines. texts = [ "David works as a Data Scientist at Domino Data Lab", "Domino Data Lab is a company that provides enterprise-class data science capabilities through its platform.",

Enterprise 119

Enterprise Data Science Modeling Visualization 119

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Factory.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

NOVEMBER 8, 2023

As per a recent study, around 39% of organizations have encountered cloud-based data breaches. 6 On top of that, the average cost of a data breach is over $4.4 million per incident, making cloud data breaches one of the top attacks to defend against. 8 Complexity. Operational costs. Zscaler Figure 1.

Cost-Benefit 135

Cost-Benefit Risk Digital Transformation Reporting 135

AWS Big Data

NOVEMBER 15, 2023

BMW Cloud Efficiency Analytics (CLEA) is a homegrown tool developed within the BMW FinOps CoE (Center of Excellence) aiming to optimize and reduce costs across all these accounts. In this post, we explore how the BMW Group FinOps CoE implemented their Cloud Efficiency Analytics tool (CLEA), powered by Amazon QuickSight and Amazon Athena.

Analytics 111

Analytics Dashboards Metadata Data Warehouse 111

erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Who is authorized to use it and how?

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106