CIO Business Intelligence

APRIL 25, 2024

With questions around ROI, increasing outlay, and corporate scrutiny on IT cost savings on the rise, CIOs must know not only what contributes to their organization’s overall cloud spend but also how to optimize it. And that’s all before considering the need to fuel new AI initiatives , which can push cloud costs up further.

Management 115

Management Optimization Strategy Enterprise 115

CIO Business Intelligence

NOVEMBER 28, 2023

IT leaders take note: At your likely current trajectory, your organization is the Titanic and its data is the iceberg. To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy.

Management 115

Management Data Architecture Data Lake Data Strategy 115

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 78

Data Lake Data Governance Data Architecture Machine Learning 78

Smart Data Collective

MARCH 30, 2022

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses. Determine your preparedness.

Data Lake 101

Data Lake Cost-Benefit Data Warehouse Big Data 101

Timo Elliott

DECEMBER 14, 2022

So how do organizations do that? It’s not just a technology toolbox, it’s a platform designed to accelerate innovation and unleash your business potential. It’s all about the “B” in BTP: it provides a business-focused set of services, across one or more of your strategic cloud hyperscalar partners.

Data Lake 105

Data Lake Recreation/Entertainment Metadata Data Warehouse 105

DataKitchen

JANUARY 3, 2022

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. The data analytics function in large enterprises is generally distributed across departments and roles. Figure 1: Data analytics challenge – distributed teams must deliver value in collaboration.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

JANUARY 10, 2024

No IT organization wants to get caught short on processing or storage resources that could negatively affect operations, or have to suddenly add resources that exceed the budget. Refactor your applications to take advantage of web services or serverless capabilities, and re-architect your infrastructure to optimize resource usage,” he says.

Cost-Benefit 118

Cost-Benefit Measurement Optimization Metrics 118

Timo Elliott

JUNE 19, 2023

You are also changing your businesses to take advantage of these new opportunities. The whole point is that other people have already had this problem, built a solution, and you can simply plug and play and put those new Lego bricks into your existing process. should be taking account of in the coming months and years.

Data Lake 105

Data Lake Digital Transformation Recreation/Entertainment Technology 105

IBM Big Data Hub

DECEMBER 18, 2023

It is relatively simple to see that something is wrong with your network using DNS data. It is a data problem. Any authoritative DNS provider worth its salt will show you how many NXDOMAIN responses you are getting. The problem: finding the needle in the haystack.

Dashboards 79

Dashboards Data Lake Metrics Sales 79

Jet Global

NOVEMBER 5, 2020

If your company is using Microsoft Dynamics AX, you’ll be aware of the company’s shift to Microsoft Dynamics 365 Finance and Supply Chain Management (D365 F&SCM). The Data Security Problem: How We Got Here. The Data Security Problem: How We Got Here. Let’s start with some background information.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. That strategy is doomed to fail.

Manufacturing 90

Manufacturing Data Architecture Strategy Data Strategy 90

CIO Business Intelligence

MARCH 18, 2024

It’s an environment that taxes the decision-making skills of the even the most savvy CIOs. Coming to grips with risk The first step in making any bet — or investment — is to understand your ability to withstand risk. But ready or not, choices with far-reaching repercussions must be made. And standing still is not an option.

Risk 130

Risk Cost-Benefit Data Processing Testing 130

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. a new version of AWS Glue that accelerates data integration workloads in AWS.

Data Lake 77

Data Lake Visualization Dashboards Insurance 77

CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. And nobody has to get sold on it, he adds. Once you have it in the workplace, you get 1,000 use cases because everyone wants to do it.”

Enterprise 129

Enterprise Consulting Modeling Cost-Benefit 129

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 72

Data Lake Testing Interactive Unstructured Data 72

Smart Data Collective

APRIL 24, 2020

It’s impossible to deny the importance of data in several industries, but that data can get overwhelming if it isn’t properly managed. The problem is that managing and extracting valuable insights from all this data needs exceptional data collecting, which makes data ingestion vital.

Data Lake 100

Data Lake Data Collection Deep Learning Management 100

Smart Data Collective

MAY 31, 2022

Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. What is Data Activation? What is Data Activation? It Started Reverse ETL.

Data Warehouse 133

Data Warehouse Big Data Data-driven Technology 133

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. Consider for a moment, just how much 2020 brought about for businesses to deal with. Finally, throw in the constant stream of cyberthreats out there and it’s clear that protecting your enterprise’s data is vital.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Timo Elliott

JANUARY 3, 2022

Back in the 1960s, a pair of radio astronomers were busily collecting data on distant galaxies. But what set these astronomers apart – and eventually earned them a Nobel Prize – was what they eventually found in the data. Opportunities for key insights are often buried in a vast universe of dormant information known as “dark data.”.

IT 143

IT Unstructured Data Data Quality Machine Learning 143

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

CIO Business Intelligence

DECEMBER 1, 2022

For any IT leader new to an organization, gaining employee trust is paramount — especially when, like PepsiCo’s Athina Kanioura, you’ve been brought in to transform the way work gets done. People become embedded into the ways of working successfully,” she says. People become embedded into the ways of working successfully,” she says. “Me

Digital Transformation 132

Digital Transformation IoT Data-driven KPI 132

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. It takes days for data engineers to identify and implement data quality rules.

Data Quality 92

Data Quality Statistics Data Lake Visualization 92

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 85

Data Quality Measurement Testing Visualization 85

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Discovery phase The discovery phase is considered the most essential among the three phases and the longest.

Testing 96

Testing Data Warehouse Metrics Cost-Benefit 96

Cloudera

OCTOBER 6, 2022

CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. Beware of technology that is not strategic to your long-term plans and look to update that quickly. Everyone has their own ideas about what digital transformation means, so I decided to look up a few definitions.

Digital Transformation 84

Digital Transformation Cost-Benefit Data Lake Machine Learning 84

Smart Data Collective

FEBRUARY 20, 2022

Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. In this article we will list 10 things AWS can do for your SaaS company. Management of data.

Cost-Benefit 115

Cost-Benefit Data Lake Software Machine Learning 115

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data modeling basics.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

JUNE 26, 2023

In today’s digital world, data is generated by a large number of disparate sources and growing at an exponential rate. Companies are faced with the daunting task of ingesting all this data, cleansing it, and using it to provide outstanding customer experience. It’s commonly referred to as a data harmonization or deduplication problem.

Insurance 76

Insurance Visualization Data Lake Metrics 76

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Expiring snapshots is a relatively cheap operation and uses metadata to determine newly unreachable files.

Strategy 56

Strategy Optimization Snapshot Metadata 56

Corinium

JUNE 6, 2019

Will you please describe your role at Fractal Analytics? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. IBM has been the pioneer in paving the way for data management technologies and advancements for decades, from the first commercial database to quantum computing systems. This is the story of Db2. .

Data Lake 93

Data Lake Data Warehouse Publishing Structured Data 93

Smart Data Collective

AUGUST 9, 2019

Big data in the gaming industry has played a phenomenal role in the field. We have previously talked about the benefits of using big data by gaming providers that offer cash games, such as slots. However, more mainstream games use big data as well. As it turns out, Epic uses a data lake for this massive undertaking.

Big Data 77

Big Data Data Lake Data Architecture Machine Learning 77

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Artificial intelligence (AI) adoption is still in its early stages.

Risk 75

Risk Modeling Management Metadata 75

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. What was at first a data stream has morphed into a data river as enterprise businesses are harvesting reams of data from every conceivable input across every conceivable business function.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

BizAcuity

MAY 16, 2022

Fast food companies like Domino’s, McDonald’s and KFC collect massive amounts of data which includes customer data and other key business metrics for their own operations. That is how they ensure their taste is consistent throughout. Data allowed Guinness to hold their market dominance for long.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52