IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

AWS Big Data

OCTOBER 4, 2023

Collaboration – Analysts, data scientists, and data engineers often own different steps within the end-to-end analytics journey but do not have an simple way to collaborate on the same governed data, using the tools of their choice.

Metadata 102

Metadata Data Lake Publishing Data Governance 102

Alation

JANUARY 13, 2022

Thoughtworks says data mesh is key to moving beyond a monolithic data lake. Spoiler alert: data fabric and data mesh are independent design concepts that are, in fact, quite complementary. Thoughtworks says data mesh is key to moving beyond a monolithic data lake 2. Gartner on Data Fabric.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

AWS Big Data

DECEMBER 21, 2023

smava believes in and takes advantage of data-driven decisions in order to become the market leader. The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

AWS Big Data

MAY 1, 2024

To provide a variety of products, services, and solutions that are better suited to customers and society in each region, we have built business processes and systems that are optimized for each region and its market. Responsibilities include: Load raw data from the data source system at the appropriate frequency.

Dashboards 113

Dashboards Data-driven Publishing Cost-Benefit 113

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 60

Data Architecture Data Lake Machine Learning Data Governance 60

Ontotext

FEBRUARY 12, 2024

Determine ownership by making sure all teams involved in the data mesh own the quality of their domain data, ensure service-level agreements are met, and share that data with data contracts. Domain teams should continually monitor for data errors with data validation checks and incorporate data lineage to track usage.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

CIO Business Intelligence

DECEMBER 21, 2022

“By 2025, it’s estimated we’ll have 463 million terabytes of data created every day,” says Lisa Thee, data for good sector lead at Launch Consulting Group in Seattle. BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions.

IT 123

IT Business Intelligence Sales Key Performance Indicator 123

Alation

AUGUST 11, 2022

Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. We chatted about industry trends, why decentralization has become a hot topic in the data world, and how metadata drives many data-centric use cases.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Alation

JUNE 21, 2022

The audience grew to include data scientists (who were even more scarce and expensive) and their supporting resources (e.g., After that came data governance , privacy, and compliance staff. Power business users and other non-purely-analytic data citizens came after that. Data engineers want to catalog data pipelines.

Metadata 52

Metadata Data Quality Visualization Data Lake 52

Alation

OCTOBER 19, 2022

Alation outpaced its rivals by achieving 8 top rankings and 11 leading positions across two separate peer groups of Data Intelligence Platforms and Data Governance Products. In addition, 83 percent of surveyed users would recommend — and 90 percent are satisfied with — Alation Data Catalog.

Management 52

Management KPI Data Governance Reporting 52

Alation

MARCH 21, 2023

What types of data are collected? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. What are common data challenges for the travel industry? They may also suffer from data duplication, which undermines their analytics models.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

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Cost-Benefit Metadata Optimization Management 77

Alation

APRIL 7, 2021

In the newest offering, Alation Cloud Service , Alation delivers the most comprehensive cloud-based data intelligence platform on the market. It provides users with the simplest and fastest way to drive data intelligence across hybrid environments. Hence, the data catalog must be protected by enterprise-grade security.

Data Governance 52

Data Governance Enterprise Metadata Cost-Benefit 52

Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. See below. .

Data Lake 81

Data Lake Data Architecture Data-driven Data Warehouse 81

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Alation

NOVEMBER 28, 2022

introduces Alation Connected Sheets, a new product under Alation Cloud Service that empowers spreadsheet users with access to trusted data. Talo Thomson, head of content marketing, Alation: Krishna, Sathish: Thanks for agreeing to speak with me today. Sathish: I’m also excited about data governance for spreadsheets.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Alation

JUNE 7, 2023

Yet having trusted data, alongside data access in a self-service environment, can give you that speed. Airlines Reporting Corporation (ARC) used self-service data access as a way to accelerate time-to-market for new products. To bring new products to market, ARC relied on the knowledge of its workers.

Uncertainty 52

Uncertainty Data Lake Risk Data-driven 52

AWS Big Data

JULY 28, 2023

Data management and governance Addressing the challenges mentioned requires a combination of technical, operational, and legal measures. Organizations need to develop robust data governance practices, establish clear procedures for handling deletion requests, and maintain ongoing compliance with GDPR regulations.

Snapshot 86

Snapshot Metadata Measurement Data Warehouse 86

Andrew White

MARCH 22, 2019

to weave together the governance and management of master data, application data, and less-widely shared data, and just enough enterprise metadata management. Your Future Requires You to Define Your Real Master Data. This ties into the failure of data governance and MDM (see first item in this list).

Analytics 68

Analytics Metadata Data Governance Management 68

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

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Cloudera

AUGUST 21, 2020

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To start off, what are the advantages of a forward-looking data-in-motion strategy?

Enterprise 61

Enterprise Data Lake Strategy Metadata 61

Alation

AUGUST 2, 2022

This makes the digital channel even more powerful, but only if customer data is used wisely. By considering the buyer’s journey across the marketing, sales, and customer service funnels, you can build long-term relationships that enhance revenue and enable long-term growth. Siloed Customer Data. Product/service usage data.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52

Jet Global

FEBRUARY 23, 2024

Data Integration Data integration is the process of connecting data from one system to another, such as when synchronizing customer data between marketing and sales platforms. Source-to-target mapping integration tasks vary in complexity, depending on data hierarchy and structure.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Alation

FEBRUARY 20, 2020

Data helps with both of these challenges. Data is the mechanism for resolving questions. Whether the question is about a new feature or a new market, data provides the evidence — the scientific method for validating a hypothesis — that drives the company forward. The Role of the Chief Data Officer (CDO).

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Alation

FEBRUARY 20, 2020

According to the report, “Demand for data catalogs is soaring as organizations struggle to inventory distributed data assets to facilitate data monetization and conform to regulations.”

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

Andrew White

JANUARY 11, 2021

How does CDO overlap with Market Research functions? Do Qual data sources for example text, which tend to live in MR cross into the CDO world? I suspect some of our analysts who cover market research would have insight here. For example, it is possible the CDO is the head of Marketing. They have a different sweet spot.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52