Cloudera

SEPTEMBER 23, 2022

These operations are part of the service and a key feature that drives lower total cost of ownership — you do not have to hire or staff an operations team to manage the data lakehouse. Your data warehouse dashboards might be running during business hours and remain unused during other hours.

Data Governance 114

Data Governance Strategy Enterprise Cost-Benefit 114

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

JULY 24, 2024

ActionIQ is a leading composable customer data (CDP) platform designed for enterprise brands to grow faster and deliver meaningful experiences for their customers. This post will demonstrate how ActionIQ built a connector for Amazon Redshift to tap directly into your data warehouse and deliver a secure, zero-copy CDP.

Data Warehouse 125

Data Warehouse Cost-Benefit Marketing Testing 125

David Menninger's Analyst Perspectives

OCTOBER 2, 2024

Data as a product is the process of applying product thinking to data initiatives to ensure that the outcome —the data product—is designed to be shared and reused for multiple use cases across the business.

Key Performance Indicator 130

Key Performance Indicator Data Governance Enterprise Data Warehouse 130

CIO Business Intelligence

OCTOBER 2, 2024

And with all the data an enterprise has to manage, it’s essential to automate the processes of data collection, filtering, and categorization. Many organizations have data warehouses and reporting with structured data, and many have embraced data lakes and data fabrics,” says Klara Jelinkova, VP and CIO at Harvard University.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

CIO Business Intelligence

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Enterprise 141

Enterprise Data Quality Modeling Structured Data 141

CIO Business Intelligence

MARCH 22, 2022

One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Another option is a data warehouse, which stores processed and refined data. Set up unified data governance rules and processes.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

BI-Survey

JANUARY 15, 2023

Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. Therefore, it is not clear why the costly and apparently flexibility-inhibiting data warehouse is needed at all. But is it really?

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Data Science 101

DECEMBER 3, 2019

Do you have a data governance document? What data do you collect? Technical Questions Before Starting a Data Strategy. How and where is your current data stored? Do you have a Business Intelligence (BI) tool? What is the current data infrastructure? Do you have a data warehouse?

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

Jen Stirrup

MARCH 29, 2023

Organisations are looking at ways of simplifying data; for example, through simple rebranding efforts to disguise the complexity. However, SAP Datasphere goes much deeper deeper than a simple rebranding; it is the next generation of SAP Data Warehouse Cloud. Business Intelligence is often a search problem in disguise.

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. Low quality In many scenarios, there is no one responsible for data administration.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.).

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights.

Data Lake 122

Data Lake Cost-Benefit Data-driven Data Warehouse 122

AWS Big Data

SEPTEMBER 11, 2024

This also includes building an industry standard integrated data repository as a single source of truth, operational reporting through real time metrics, data quality monitoring, 24/7 helpdesk, and revenue forecasting through financial projections and supply availability projections.

Data Architecture 110

Data Architecture Optimization Data Warehouse Metadata 110

CIO Business Intelligence

MAY 24, 2022

The survey found the mean number of data sources per organisation to be 400, and more than 20 percent of companies surveyed to be drawing from 1,000 or more data sources to feed business intelligence and analytics systems. Having systems able to scale to handle the volumes of data to be analysed.

Data-driven 98

Data-driven Data Lake Data Warehouse IT 98

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 94

Analytics Data Warehouse Data Lake Metadata 94

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. The program manager should lead the vision for quality data and ROI.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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. The knock-on impact of this lack of analyst coverage is a paucity of data about monies being spent on data management.

Management 131

Management Data Architecture Data Lake Data Strategy 131

CIO Business Intelligence

OCTOBER 17, 2024

The data factor I joined Liberty Dental about two and a half years ago, and the first big opportunity I saw was data, which was all over the place. We had a kind of small data warehouse on-prem. We created our data model in a way that satisfied the requirements of what we had a vision of.

Management 111

Management Insurance ROI Cost-Benefit 111

Jet Global

FEBRUARY 5, 2019

Data is often imperfect and incomplete, but with smart data management, effective data governance, and centralized data storage, you can be well on your way to becoming a fully data-driven enterprise. . Reduce the Risk of Bad Data with Master Data Management (MDM). Download Now.

Data Warehouse 69

Data Warehouse Data Quality Business Intelligence Data Governance 69

CIO Business Intelligence

MARCH 6, 2024

This was a gift because it forced us into data governance and we sell data governance products, so this wasn’t a new concept to us. The definition of ARR, for example, required debate between the CFO and the CEO, and then my team built the definition into the data warehouse. What’s the calculation?

Modeling 116

Modeling Management IT Metrics 116

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

AWS Big Data

DECEMBER 12, 2024

Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios. The combination of these three services provides a powerful, comprehensive solution for end-to-end data lineage analysis.

Snapshot 90

Snapshot Recreation/Entertainment Experimentation Data Lake 90

erwin

SEPTEMBER 25, 2020

Therefore, the visual representation provided by a data model gives organizations the confidence to design their proposed systems and take them live. Data modeling is a critical component of metadata management , data governance and data intelligence. Automate data model and database schema generation.

Modeling 111

Modeling Cost-Benefit Visualization Data Warehouse 111

CIO Business Intelligence

DECEMBER 20, 2024

Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs. Data must be able to freely move to and from data warehouses, data lakes, and data marts, and interfaces must make it easy for users to consume that data.

Data Architecture 98

Data Architecture Management Consulting Internet of Things 98

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. Dimension-based models have been used extensively to build data warehouses.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

CIO Business Intelligence

NOVEMBER 25, 2024

Because core data has resided in LeeSar’s legacy system for more than a decade, “a fair amount of effort was required to ensure we were bringing clean data into the Oracle platform, so it has required an IT and functional team partnership to ensure the data is accurate as it is migrated.”

Digital Transformation 131

Digital Transformation Data Warehouse Data Governance Enterprise 131

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

CIO Business Intelligence

SEPTEMBER 21, 2022

However, as data enablement platform, LiveRamp, has noted, CIOs are well across these requirements, and are now increasingly in a position where they can start to focus on enablement for people like the CMO. Inconsistent data , which can result in inaccuracies in interacting with customers, and affect the internal operational use of data.

Risk 105

Risk Data Lake Marketing Data Warehouse 105

AWS Big Data

DECEMBER 4, 2024

In today’s data-driven world , organizations are constantly seeking efficient ways to process and analyze vast amounts of information across data lakes and warehouses. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

Data Lake 115

Data Lake Metadata Insurance Data-driven 115

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

Cloudera

AUGUST 21, 2024

This year, we’re excited to share that Cloudera’s Open Data Lakehouse 7.1.9 release was named a finalist under the category of Business Intelligence and Data Analytics. The root of the problem comes down to trusted data.

Snapshot 70

Snapshot Unstructured Data Data Architecture Data Warehouse 70