IBM Big Data Hub

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. This is especially helpful when handling massive amounts of big data. Protected and compliant data. Why IBM Watson Knowledge Catalog?

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Points of integration. Sources, like IoT.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Smarten

AUGUST 17, 2018

But, the idea is gaining ground as markets and organizations adjust to the idea that data analytics and self-serve access can benefit and change data literacy, as well as the approach to and foundation of business decisions, and the collaborative power and application of analytics within the business structure.

Analytics 40

Analytics Measurement Data-driven Optimization 40

DataKitchen

NOVEMBER 18, 2021

Imagine a data pipeline error or data problem that impacts critical analytics. Most organizations find out about these errors from their customers, such as a VP of Sales who notices that the bookings report is millions of dollars off. Restrictive data governance Policies. Blaming and finger-pointing.

Testing 246

Testing Data Governance Measurement Software 246

IBM Big Data Hub

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization.

Analytics 72

Analytics Optimization Data-driven Metrics 72

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 89

Optimization B2B Data Quality Sales 89

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 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

IBM Big Data Hub

OCTOBER 12, 2023

So, the greater the visibility and control an organization has over its AI models now, the better prepared it will be for whatever AI and data regulations are coming around the corner. Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. And that makes sense.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. What is the difference in your view between Data Analytics and Data Science?

Analytics 64

Analytics Measurement Modeling Data-driven 64

CIO Business Intelligence

MARCH 22, 2022

This investigation will help you identify the organizational and infrastructure changes needed to open up data access across the company. . Consolidate data . Consolidation creates a single source of truth on which to base decisions, actions, and reports. Set up unified data governance rules and processes.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

CIO Business Intelligence

MAY 24, 2022

Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Data extraction: Platform capabilities help sort through complex details and quickly pull the necessary information from large documents.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Find out what is working, as you don’t want to totally scrap an already essential report or process.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

FineReport

APRIL 3, 2024

Integrated with diverse data sources, they empower users to analyze data directly within the dashboard interface, democratizing data analytics for both technical and non-technical users. Conversely, reports provide in-depth analysis suited for detailed examinations and data exploration.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

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 65

Data Architecture Data Lake Machine Learning Data Governance 65

DataKitchen

JANUARY 23, 2023

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. What is missing in data lineage?

Testing 130

Testing Data Governance Data Quality Data-driven 130

Jet Global

MARCH 23, 2023

Defining Self-Service BI Gartner defines self-service BI as “end users designing and deploying their own reports and analyses within an approved and supported architecture and tools portfolio”. Therefore, analysis, dynamic reports, and dashboards are sufficient to cover their self-service BI needs in most cases.

Dashboards 52

Dashboards Reporting Key Performance Indicator Interactive 52

Jet Global

OCTOBER 24, 2022

Embedded analytics gives developers the ultimate flexibility to build powerful and insightful reports and dashboards into their applications, without the drawbacks associated with the three approaches already discussed. The Definitive Guide to Embedded Analytics. Logi Analytics. Interested in Financial Reporting.

Analytics 52

Analytics Dashboards Software Reporting 52