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 113

Management Data Architecture Data Lake Data Strategy 113

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. In November 2022, Lake Formation introduced version 3 of its cross-account sharing feature.

Data Lake 82

Data Lake Data Governance Data Architecture Machine Learning 82

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

CIO Business Intelligence

APRIL 11, 2022

With the focus shifting to distributed data strategies, the traditional centralized approach can and should be reimagined and transformed to become a central pillar of the modern IT data estate. It can also ease data accessibility. In many cases, this created a mostly unusable swamp.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

Cloudera

JANUARY 30, 2024

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

Manufacturing 81

Manufacturing Contextual Data IoT Digital Transformation 81

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

IBM Big Data Hub

JANUARY 5, 2023

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. For example, imaging data can be used to show patients how an aligner will change their appearance over time. “It The offensive side?

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

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. What are the layers?

Manufacturing 89

Manufacturing Data Architecture Strategy Data Strategy 89

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

MARCH 9, 2022

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a data lake. A change was needed. Talal Mufti.

Data Science 91

Data Science Data Lake Cost-Benefit Digital Transformation 91

Cloudera

APRIL 4, 2022

While challenges exist in data interoperability, privacy controls, ongoing compliance initiatives, etc, the industry has proven speed is possible despite these obstacles. . The usage of data lakes and automation are helping facilitate the data sharing and collaboration across the healthcare ecosystem.

Data Lake 81

Data Lake Digital Transformation Manufacturing Sales 81

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. The data is protected but it is also accessible by the people who need it. Understanding your data is critical to protecting the data.

Metadata 84

Metadata Data Lake Optimization Modeling 84

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Data quality. For data to be trusted, it needs to be complete, accurate and well understood. Data silos.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

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. Also, it is using customer data that they experiment and roll out new products every month. So, make sure you have a data strategy in place.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 129

Data Architecture Data Warehouse Statistics Visualization 129

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The task of analyzing data is no simple feat. IT log data management tool.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

CIO Business Intelligence

APRIL 12, 2023

He had been trying to gather new data insights but was frustrated at how long it was taking. Data is a key component when it comes to making accurate and timely recommendations and decisions in real time, particularly when organizations try to implement real-time artificial intelligence. Sound familiar?) It isn’t easy.

Machine Learning 136

Machine Learning Cost-Benefit Data-driven Strategy 136

CIO Business Intelligence

JULY 18, 2022

To fully capitalize on data-first modernization, organizations need secure access to data spread across the IT landscape. Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. An ISV ecosystem at work.

Cost-Benefit 76

Cost-Benefit Data Lake Data Warehouse Enterprise 76

Cloudera

SEPTEMBER 2, 2020

Recently, Cloudera announced the release of Cloudera CDP Private Cloud, delivering the final component of our hybrid cloud strategy. Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX).

Cost-Benefit 69

Cost-Benefit Data Warehouse Data Lake Machine Learning 69

Alation

JANUARY 10, 2023

But the actual value you can get out of a data catalog will depend somewhat on the reason you’re looking to implement one in the first place. We’ll take a look at why companies want a data catalog, how a data catalog is defined and the value you can get out of it. Three reasons companies adopt a data catalog.

ROI 52

ROI Data Lake Strategy Data-driven 52

AWS Big Data

MARCH 23, 2023

Large organizations often have lines of businesses (LoBs) that operate with autonomy in managing their business data. It makes sharing data across LoBs non-trivial. These organizations have adopted a federated model, with each LoB having the autonomy to make decisions on their data. We’d love to hear your feedback!

Interactive 69

Interactive Snapshot Data Lake Software 69

AWS Big Data

MARCH 27, 2023

As real-time data has become essential for businesses, a growing number of companies are adapting their data strategy to focus on data in motion. Event streaming is the central nervous system of a data in motion strategy and, in many organizations, Apache Kafka is the tool that powers it.

Visualization 76

Visualization Data Lake Interactive Data-driven 76

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. Data is the raw material for the modern business apparatus. Benefits of a Data Lake.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. The SDX layer is configured and the users have appropriate access.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

Sisense

NOVEMBER 12, 2020

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. with a cloud data warehouse is simple.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Smart Data Collective

NOVEMBER 30, 2020

Data automation, in particular, can offer some tremendous benefits. Understanding the Phenomenal Benefits of Data Automation. We have talked about many different types of automation in the past, including the automation of data lakes. What Does Data Automation Do and What Are Its Limitations? Many Options.

Big Data 83

Big Data Data Lake ROI Marketing 83

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. You need to process this to make it ready for analysis.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Hurwitz & Associates

JUNE 28, 2018

Chief Data Officers (CDOs) have a weighty responsibility: they are “on point” to find the actionable insights and data trends from analysis of data lakes, data repositories and virtual “seas” of data flowing across their large organizations. Become the central data source and the AI framework for IBM.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. Data-in-motion on the other hand is data constantly coming into an enterprise or into the cloud that doesn’t have any finite end to it.

Enterprise 62

Enterprise Data Lake Strategy Metadata 62

Peter James Thomas

APRIL 3, 2020

I have been very much focussing on the start of a data journey in a series of recent articles about Data Strategy [3]. Here I shift attention to a later stage of the journey [4] and attempt to answer the question: “How best to deliver information to an organisation in a manner that will encourage people to use it?”

Dashboards 61

Dashboards Reporting Sales Data Lake 61

IBM Big Data Hub

APRIL 25, 2023

Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. Read our blog on solving today’s challenges with a lakehouse architecture Value of data warehouse optimization Since its introduction over a century ago, the gasoline-powered engine has remained largely unchanged.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

CIO Business Intelligence

APRIL 6, 2022

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. Thinking about that intelligence as having millions of loosely connected decision points at the edge requires a different strategy, and you can’t micromanage it.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. Linked Data, subscriptions, purchased datasets, etc.).

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Cloudera

SEPTEMBER 10, 2020

This is because the majority of IT departments find it near impossible to just ‘ramp up’ data use, and even more difficult to do so at scale. Data Champions find the common ground that successfully meets the requirements of both business AND IT. How do you balance the business and IT needs around data access in your organization?

IT 104

IT Digital Transformation Business Objectives Data-driven 104