TreehouseTechGroup

OCTOBER 27, 2020

As digital technologies are dramatically reshaping consumer behavior, markets, and enterprises, CXOs must focus on occupying leadership positions or catching up with competition. The ability to deploy cutting edge technologies fast to deliver products and services in ways that were not possible before has become a business imperative.

Digital Transformation 75

Digital Transformation Data Architecture Strategy Marketing 75

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. The time has come for data leaders to move beyond traditional governance and analytics sustainability is the next frontier for CDOs, and the opportunity to lead is now.

IT 59

IT Data Governance Data-driven Metrics 59

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 Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

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 architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

NOVEMBER 28, 2023

But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery. And what do enterprises gain from that?

Management 131

Management Data Architecture Data Lake Data Strategy 131

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

CIO Business Intelligence

JUNE 16, 2022

Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. It’s a common occurrence in all types of enterprises, and it’s difficult to wrestle to the ground. The wrong way: Siloed data ecosystems.

IT 135

IT Experimentation IoT Data-driven 135

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.

Data Strategy 82

Data Strategy Strategy Data Warehouse Prescriptive Analytics 82

IBM Big Data Hub

JUNE 21, 2022

When it comes to selecting an architecture that complements and enhances your data strategy, a data fabric has become an increasingly hot topic among data leaders. This architectural approach unlocks business value by simplifying data access and facilitating self-service data consumption at scale. .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

IBM Big Data Hub

DECEMBER 16, 2022

Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. In other words, they must ensure that data strategy aligns to business strategy. Building the foundation: data architecture.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

CIO Business Intelligence

AUGUST 17, 2022

Winning enterprises take data, process it, and use it to deliver in-the-moment experiences to customers. But what does that success look like, and what are the challenges faced by organizations that use real-time data? These particular challenges, however, don’t rank as highly for data leaders. By Thomas Been, DataStax.

Data Architecture 111

Data Architecture Strategy Data-driven Data Strategy 111

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 132

Digital Transformation Data-driven Strategy Data Strategy 132

Alation

APRIL 19, 2021

The cloud supports this new workforce, connecting remote workers to vital data, no matter their location. Today, enterprises are migrating to the cloud at a brisk pace. Data Cloud Migration Challenges and Solutions. Cloud migration is the process of moving enterprise data and infrastructure from on premise to off premise.

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

Cloudera

JUNE 7, 2022

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. The same study also revealed that 89% of IT decision makers agree that organizations that implement a hybrid architecture as part of its data strategy will gain a competitive advantage.

IT 112

IT Data Architecture Unstructured Data Big Data 112

CIO Business Intelligence

AUGUST 2, 2023

Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific? Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail. It’s given us agility.

Manufacturing 98

Manufacturing Data Architecture Data Strategy Strategy 98

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data Management

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

CIO Business Intelligence

JUNE 23, 2022

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. The same study also revealed that 89% of IT decision makers agree that organizations that implement a hybrid architecture as part of its data strategy will gain a competitive advantage.

IT 97

IT Data Architecture Unstructured Data Big Data 97

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

Optimization 78

Optimization Data Architecture Data Governance B2B 78

Cloudera

JUNE 13, 2024

That investment and support have resulted in the first true hybrid platform for data, analytics, and AI, backed by a seasoned and proven leadership team, with a go-to-market strategy focused on ensuring our customers’ success in the future of Enterprise AI.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

Cloudera

AUGUST 22, 2021

Retirement of legacy tech and migration to new services can be challenging for any business, but greater for enterprises. Data is now one of the biggest assets an organisation holds and reducing silos allows faster and more effective decision making. Cloudera has been at the forefront of enterprise data for years.

Cost-Benefit 105

Cost-Benefit IoT Strategy Digital Transformation 105

Cloudera

DECEMBER 21, 2020

Our annual Data Impact Awards are all about celebrating organizations that are unlocking the maximum value from their data in order to drive the business forward. One category that highlighted some fantastic examples of customers doing just that, was The Enterprise Data Cloud award. million and has 10,000 employees.

Enterprise 96

Enterprise Data-driven Data Architecture Machine Learning 96

Cloudera

MAY 9, 2023

The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services. Supporting Data Access to Achieve Data-Driven Innovation Due to the spread of COVID-19, demand for digital services has increased at SoftBank.

Data Lake 90

Data Lake IoT Data Governance Data Strategy 90

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 98

Technology Data-driven Machine Learning Sales 98

AWS Big Data

OCTOBER 30, 2024

This is part two of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to load data from a legacy database (SQL Server) into a transactional data lake ( Apache Iceberg ) using AWS Glue.

Data Lake 103

Data Lake Data Processing Optimization Machine Learning 103

Cloudera

JULY 16, 2019

Businesses merged, data centers ran out of room to expand, and departments made independent choices or engaged in shadow IT. Hybrid cloud has become the norm inside the enterprise, and every organization needs a hybrid cloud strategy to cope with the challenges it presents. Understanding the Challenges of Hybrid Cloud.

Strategy 41

Strategy Enterprise Data Strategy Big Data 41

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

TDAN

JULY 21, 2021

There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].

Big Data 145

Big Data Enterprise Modeling Data Architecture 145

Cloudera

NOVEMBER 30, 2020

The framework incorporates seven foundational principles designed to ensure organizations gain a sustainable competitive advantage by preventing privacy infractions and data breaches from occurring, right from the outset. . Data Strategy . Define a data strategy, classify sensitive data, and document how it is used.

Data Strategy 68

Data Strategy Strategy Data Architecture Risk 68

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

TDAN

MAY 4, 2021

When you’ve been involved in data management for as long as I have, things are definitely bound to change. Back when I started in IT, IMS was the primary database system used at most big enterprises and most of the computing was done on mainframe systems. […]. And things have changed, quite a lot, in fact.

Enterprise 139

Enterprise Management Data Architecture IT 139

Cloudera

SEPTEMBER 8, 2021

In recent years there has been increased interest in how to safely and efficiently extend enterprise data platforms and workloads into the cloud. CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade.

Data Lake 79

Data Lake Enterprise Data-driven Data Strategy 79

Cloudera

NOVEMBER 25, 2021

A modern, cloud-native data architecture with separation of compute and storage, containerized data services (for agility and elasticity), and object storage (for scale and cost-efficiency). Common Use Cases for Cloud and Data Solutions . So, what are the common user cases we are seeing for enterprise data clouds?

Machine Learning 90

Machine Learning IoT Risk Business Objectives 90

TDAN

JANUARY 3, 2023

Breaking Bad with 3D Enterprise Systems is a book that details a practical and proven approach for building flexible applications. Blair Kjenner and Kewal Dhariwal combine several different techniques that allow project teams to create applications that not only met requirements, but could also handle new requirements with ease.

Enterprise 52

Enterprise Data Architecture Data Strategy Business Intelligence 52

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it.

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Data can be organized into three different zones, as shown in the following figure.

Data Lake 119

Data Lake Sales Data Warehouse Snapshot 119