IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 88

Data Integration Metadata Data-driven Data Architecture 88

BI-Survey

FEBRUARY 17, 2020

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy. This is where data governance comes in.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

CIO Business Intelligence

JANUARY 24, 2024

“IT leaders should establish a process for continuous monitoring and improvement to ensure that insights remain actionable and relevant, by implementing regular review cycles to assess the effectiveness of the insights derived from unstructured data.” This type of environment can also be deeply rewarding for data and analytics professionals.”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

MARCH 4, 2024

As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Accelerated demand in AI-enabled innovations has recently compounded these issues, prioritizing the need for new capabilities that require even more robust data foundations.

Insurance 97

Insurance Strategy Data Governance Data Integration 97

Octopai

MAY 15, 2023

By analyzing this information, organizations can optimize their infrastructure and storage strategies, avoiding unnecessary storage costs and efficiently allocating resources based on data usage patterns. Data integration and ETL costs: Large organizations often deal with complex data integration and Extract, Transform, Load (ETL) processes.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

IBM Big Data Hub

JUNE 29, 2023

Integrated Business Planning (IBP) addresses these challenges by providing a comprehensive framework that integrates strategic, operational and financial planning, analysis, and reporting to drive better business outcomes. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 86

Key Performance Indicator Forecasting Data Integration Sales 86

O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

Data Virtualization

FEBRUARY 29, 2024

Reading Time: 2 minutes I’m delighted that Forrester Research has recognized Denodo as a Leader in The Forrester Wave™: Enterprise Data Fabric report. The 2024 report evaluates Denodo and 14 other data fabric vendors in terms of their current offerings, strategy, and market presence.

Enterprise 52

Enterprise Data Integration Reporting Strategy 52

O'Reilly on Data

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. Data scientists and data engineers are in demand.

Deep Learning 208

Deep Learning Machine Learning Data Science Metadata 208

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Who are the data owners? Data lineage offers proof that the data provided is reflected accurately.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

FineReport

APRIL 3, 2024

Key Features of BI Dashboards: Customizable interface Interactivity Real-time data accessibility Web browser compatibility Predefined templates Collaborative sharing capabilities BI Dashboards vs. BI Reports: While both dashboards and reports are pivotal in business intelligence, they serve distinct purposes.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

BI-Survey

AUGUST 21, 2020

The primary modernization approach is data warehouse/ETL automation, which helps promote broad usage of the data warehouse but can only partially improve efficiency in data management processes. However, an automation approach alone is of limited usefulness when data management processes are inefficient.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This foundational approach is vital for reliable decision-making based on trustworthy information derived from BI tools.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

O'Reilly on Data

FEBRUARY 11, 2019

The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco , where leading companies and speakers will share their learnings on the topics covered in this post. As companies ingest and use more data, there are many more users and consumers of that data within their organizations.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

Jen Stirrup

MARCH 29, 2023

Put together, these factors help to provide the company with a competitive advantage since better data – and better use of data – leads to better strategies. Data as a product as well as a foundation The data foundation is critical for all types of reporting and analytics. Why is this interesting?

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

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

Cloudera

JUNE 22, 2023

Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

Ontotext

MAY 16, 2024

Industry analyst reports place contextualized information and graph technologies at the center of their impact radar for emerging technologies. Acknowledging the significance of how these critical enablers define, contextualize, and constrain data for consistency and trust, is all part of the maturity process for today’s enterprise.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

IBM Big Data Hub

JUNE 12, 2023

Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. However, analytics are only as good as the quality of the data, which must be error-free, trustworthy and transparent. Data quality is also critical for data governance.

Data Quality 70

Data Quality Data Governance People Analytics Data-driven 70

Data Virtualization

AUGUST 17, 2023

Reading Time: 2 minutes Regulatory compliance is a critical consideration for businesses, especially in heavily regulated sectors such as financial services and pharmaceuticals, which require companies to frequently submit detailed reports about their operations to government agencies.

Management 52

Management Data Integration Reporting Data Governance 52

CIO Business Intelligence

NOVEMBER 21, 2023

There are ample reasons why 77% of IT professionals are concerned about shadow IT, according to a report from Entrust. The most successful programs go beyond rolling out tools by establishing governance in citizen data science programs while taking steps to reduce data debt.

IT 137

IT Risk Cost-Benefit Risk Management 137

IBM Big Data Hub

JUNE 23, 2022

The ability to compose and re-use data services with IBM’s data fabric on IBM Cloud Pak for Data allows you to tackle a variety of use cases such as multi-cloud data integration, governance and privacy, customer 360, and MLOps and Trustworthy AI. We look forward to showing you more in the upcoming months.

Enterprise 52

Enterprise Metadata Data Governance Machine Learning 52

IBM Big Data Hub

NOVEMBER 4, 2022

Unlock quality data with IBM. We are excited to share that Gartner recently named IBM a Leader in the 2022 Gartner® Magic Quadrant for Data Quality Solutions. Access the full report here. Data observability capability makes data quality checks upstream possible. Data Governance.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

CDW Research Hub

NOVEMBER 17, 2021

These tools are designed to break down silos by providing a technological means to gather data from different sources into a central location for analysis. ETL helps handle data integrity issues so that everyone is always working with fresh data. Centralize data access and control with a data governance framework.

Strategy 83

Strategy Data Governance Data Warehouse Data-driven 83

Alation

DECEMBER 15, 2022

December 2012: Alation forms and goes to work creating the first enterprise data catalog. Later, in its inaugural report on data catalogs, Forrester Research recognizes that “Alation started the MLDC trend.”. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

IBM Big Data Hub

JULY 13, 2022

This data proliferation has made it harder than ever before to trust your data: knowing where it came from, how it has changed, and who is using it. Data provenance is a complexity facing many clients engaged in data governance-related use cases.

Metadata 67

Metadata Data Governance Data Quality Data Integration 67

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). These reports include the cash flow statement, income statement, and balance sheet.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Automation & Augmented Analytics. Increase in ROI.

Business Intelligence 131

Business Intelligence Visualization Dashboards Prescriptive Analytics 131

CIO Business Intelligence

AUGUST 2, 2023

The third and most complicated layer is architecture and governance, which we’ve linked together as one layer. The last layer is raw data, which is where we get the data out of the source systems, organize it, secure it, and figure out which data lakes to use.

Manufacturing 97

Manufacturing Data Architecture Strategy Data Strategy 97

IBM Big Data Hub

JULY 6, 2022

Data observability takes traditional data operations to the next level by using historical trends to compute statistics about data workloads and data pipelines directly at the source, determining if they are working, and pinpointing where any problems may exist. . The data observability difference .

Metadata 57

Metadata Data Quality Snapshot Cost-Benefit 57

AWS Big Data

JULY 13, 2023

Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices. Goals – Lay the foundation for a data platform that can be used in the future by internal and external stakeholders. Athena exposes the content of the reporting zone for consumption.

Optimization 88

Optimization B2B Data Quality Sales 88

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 52

Metadata Data Governance Digital Transformation Data Quality 52

BI-Survey

APRIL 27, 2023

Compared with laggards, a higher portion of best-in-class companies adopt the data vault, embrace its standards, and intend to expand their use of it. Eckerson Group wrote this report in collaboration with BARC by studying the results of a global survey of 238 data & analytics practitioners and leaders.

Modeling 52

Modeling Data Warehouse Data Quality Business Driver 52