Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? Data engineering.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Cloudera

JULY 29, 2022

Is yours among the organizations hoping to cash in big with a big data solution? Organizations have good reason to believe that adopting data analytics tools and hiring data professionals will allow them to extract the full value of their data. Read on to be sure you set yourself up for success. .

Data Architecture 86

Data Architecture Data Strategy Risk Management Strategy 86

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Data Governance 52

Data Governance Data-driven Strategy Management 52

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 76

Data Governance Business Objectives Strategy Data Quality 76

IBM Big Data Hub

JUNE 8, 2023

From marketing to HR, finance to supply chain and more, decision-makers can use these insights to improve decision-making and productivity enterprise-wide. First, the underlying data must be sound and unbiased , and managed according to clear governance standards that ensure it is secure, private, accurate and usable.

Business Intelligence 63

Business Intelligence Enterprise Dashboards Digital Transformation 63

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 121

Data Architecture Data Warehouse Statistics Visualization 121

Sisense

JULY 6, 2020

Employing Enterprise Data Management (EDM). What is enterprise data management? Sisense’s State of BI and Analytics survey of 500 companies found that 34% of them were increasing their investment in analytics and BI and expanding use cases. What does enterprise data management do for your business?

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Data Architecture 101

Data Architecture Data Governance Big Data Marketing 101

AWS Big Data

APRIL 28, 2023

This is the second post of a three-part series detailing how Novo Nordisk , a large pharmaceutical enterprise, partnered with AWS Professional Services to build a scalable and secure data and analytics platform. This is a guest post co-written with Jonatan Selsing and Moses Arthur from Novo Nordisk.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

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 93

Data Quality Data Governance Data Lake Testing 93

AWS Big Data

NOVEMBER 13, 2023

Join the AWS Analytics team at AWS re:Invent this year, where new ideas and exciting innovations come together. For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. A shapeshifting guardian and protector of data like Data Lynx?

Analytics 111

Analytics Data Lake Data Warehouse Data-driven 111

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 Digital Transformation 78

Alation

MARCH 31, 2023

I’m talking about not just Walt Disney World, but also this year’s Gartner Data & Analytics Summit , which took place last month in Orlando at the landmark resort. Alation was proud to have been among the thought leaders at the annual gathering of data experts from around the world. Data governance. “I

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

CIO Business Intelligence

NOVEMBER 28, 2023

Still, to truly create lasting value with data, organizations must develop data management mastery. This means excelling in the under-the-radar disciplines of data architecture and data governance. Contributing to the general lack of data about data is complexity.

Management 103

Management Data Architecture Data Lake Data Strategy 103

CIO Business Intelligence

MARCH 28, 2022

At Vault Health, CTO Steve Shi begins enterprise architecture (EA) work with a site survey of the entire IT, application, system, and data infrastructure but restricts it to two weeks with one-hour interviews about each function. At Carrier Global Corp., Trim the red tape. Proper scope also applies to the EA organization.

Enterprise 98

Enterprise Measurement Reporting Cost-Benefit 98

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Architecture 68

Data Architecture Metadata Data Lake Snapshot 68

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

Unstructured Data 104

Unstructured Data Dashboards Business Intelligence Data Governance 104

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

JANUARY 20, 2023

In particular, companies that were leaders at using data and analytics had three times higher improvement in revenues, were nearly three times more likely to report shorter times to market for new products and services, and were over twice as likely to report improvement in customer satisfaction, profits, and operational efficiency.

Data Lake 118

Data Lake Data-driven Finance Data Architecture 118

erwin

APRIL 16, 2024

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. This empowers individual teams to own and manage their data.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

Alation

FEBRUARY 13, 2020

Following a very successful year of growth in Alation’s business, this announcement marks a milestone for Alation and the enterprise data catalog market. What started six years ago as one startup trying to improve the way people work with data has become a full-blown market category – Machine Learning Data Catalogs.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

BI-Survey

FEBRUARY 6, 2020

Recent years have seen extensive interest in topics around explorative BI such as advanced and predictive analytics. Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

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 89

Data Lake IoT Data Governance Data Strategy 89

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall data architecture introduces more complexity. For data warehouses, it can be a wide column analytical table.

Data Architecture 91

Data Architecture Data Integration IoT Strategy 91

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 80

Management Metadata Data Architecture Data Lake 80

CIO Business Intelligence

NOVEMBER 7, 2023

In fact, as companies undertake digital transformations , usually the data transformation comes first, and doing so often begins with breaking down data — and political — silos in various corners of the enterprise. Some of this data might previously have been accessible to only a small number of groups or users.

Data Warehouse 135

Data Warehouse Digital Transformation Data-driven Reporting 135

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. Who has access to the data? It’s given us agility.

Manufacturing 77

Manufacturing Data Architecture Strategy Data Strategy 77

AWS Big Data

APRIL 29, 2024

Effective permission management helps tackle these challenges by controlling how data is accessed and used, providing data integrity and minimizing the risk of data breaches. Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems.

Management 98

Management Big Data Metadata Data Warehouse 98

CIO Business Intelligence

FEBRUARY 28, 2024

The use of gen AI in the enterprise was nearly nothing in November 2022, where the only tools commonly available were AI image or early text generators. Building enterprise-grade gen AI platforms is like shooting at a moving target, and AI progress is developing at a much faster rate than they can adapt. “It in December.

IT 106

IT Consulting Modeling Enterprise 106

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

OCTOBER 16, 2020

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role. 1 of erwin Insights 2020, our virtual conference on enterprise modeling and data governance/intelligence.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

IBM Big Data Hub

SEPTEMBER 12, 2022

Enterprises are dealing with a barrage of upcoming regulations concerning data privacy and data protection, not only at the state and federal level in the US, but also in a dizzying number of jurisdictions around the world. Think of a data fabric as a single pane of glass that creates visibility across an enterprise.

Metadata 92

Metadata Data Governance Enterprise Data Architecture 92

Ontotext

JANUARY 10, 2024

The reason is that the inherent complexity of big enterprises is such that this is the simplest model that enables them to “connect the dots” across the different operational IT systems and turn the diversity of their business into a competitive advantage. This requires new tools and new systems, which results in diverse and siloed data.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 1: Multi-function analytics . 1: Multi-function analytics . 4: Enterprise grade.

Metadata 90

Metadata Data Architecture Machine Learning Cost-Benefit 90

IBM Big Data Hub

JUNE 30, 2022

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. But not all data is best suited for the cloud. 5 recommendations for a data strategy in the new multi-everything landscape.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Alation

APRIL 19, 2022

Today, enterprises are moving many legacy applications to the cloud to support Friedman’s vision of global collaboration. In the cloud, enterprises can drive agile and quick decisions — and compete more effectively. In that sense, data modernization is synonymous with cloud migration. Use of Reliable Databases.

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52