Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Consulting Enterprise 78

IBM Big Data Hub

AUGUST 23, 2023

If you add in IBM data governance solutions, the top left will look a bit more like this: The data governance solution powered by IBM Knowledge Catalog offers several capabilities to help facilitate advanced data discovery, automated data quality and data protection. and watsonx.data.

Data Governance 56

Data Governance Enterprise Modeling Risk 56

Octopai

JANUARY 31, 2021

Specifically, when it comes to data lineage, experts in the field write about case studies and different approaches to this utilizing this tool. Among many topics, they explain how data lineage can help rectify bad data quality and improve data governance. . TDWI – Philip Russom.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

DataKitchen

DECEMBER 9, 2022

DataOps automation typically involves the use of tools and technologies to automate the various steps of the data analytics and machine learning process, from data preparation and cleaning, to model training and deployment. By using DataOps, organizations can improve. Query> When do DataOps?

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Jet Global

DECEMBER 7, 2020

IDL understands the needs of finance teams – high-quality data, integrated intercompany clearing and continuous financial consolidation aligned with the respective accounting standards – and brings deep expertise in the international consolidation and close requirements for customers in Germany, Austria, and Switzerland with global operations. .

Finance 52

Finance Software Reporting Forecasting 52

Andrew White

NOVEMBER 14, 2022

This parlous sate is enshrined in the current fallacy that every D&A governance program should start with the acquisition of a data catalog. The logic, promoted by some consulting and software vendors, is that you ‘can’t govern what you don’t know you have’. Many organizations are doing just that. Do What I Do, Not What I Say.

Data Integration 52

Data Integration Technology Data Governance Analytics 52

Ontotext

MARCH 8, 2023

Graphs reconcile such data continuously crawled from diverse sources to support interactive queries and provide a graphic representation or model of the elements within supply chain, aiding in pathfinding and the ability to semantically enrich complex machine learning (ML) algorithms and decision making.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Cloudera

AUGUST 31, 2021

Leveraged delivery accelerators as well as a Data Quality framework customized by the client. The centralized complete views of verified and data-quality validated source system data within the Data Fabric helped the client streamline both security and data integration efforts across their internal application footprint.

Data Warehouse 84

Data Warehouse Cost-Benefit Metadata Data-driven 84

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Howard Dresner

JANUARY 20, 2014

A great place for an insightful, real-world view of BI trends is my weekly #BIWisdom tweetchats with BI customers, vendors and consultants. Instead, let’s kick start the year with some definite plans and aspirations of companies in the business intelligence sphere. What is your organization planning to try to achieve in 2014?

Business Intelligence 56

Business Intelligence Software Data Processing Marketing 56

Smarten

APRIL 19, 2024

The value of an AI-focused analytics solution can only be fully realized when a business has ensured data quality and integration of data sources, so it will be important for businesses to choose an analytics solution and service provider that can help them achieve these goals.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Alation

AUGUST 11, 2022

I pondered whether these megatrends — with their data meshes, data fabrics , and modern data stacks — were really brand new, or whether history may be repeating itself, albeit with new terminology. Data fabric is a technology architecture. It helps you look at different sources of data together.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

BI-Survey

APRIL 27, 2023

While most continue to struggle with data quality issues and cumbersome manual processes, best-in-class companies are making improvements with commercial automation tools. The data vault has strong adherents among best-in-class companies, even though its usage lags the alternative approaches of third-normal-form and star schema.

Modeling 52

Modeling Data Warehouse Data Quality Business Driver 52

FineReport

JULY 18, 2022

For other details, you can contact sales for consultation. Most data analysts are very familiar with Excel because of its simple operation and powerful data collection, storage, and analysis. In addition, you can choose to use charts provided by KNIME or customize the charts according to your own needs to visualize your data.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Andrew White

JANUARY 9, 2022

Much as the analytics world shifted to augmented analytics, the same is happening in data management. You can find research published on the infusion of ML in data quality, and also data catalogs, data discovery, and data integration. A data fabric that can’t read or capture data would not work.

Analytics 64

Analytics Measurement Modeling Data-driven 64

erwin

SEPTEMBER 15, 2022

Donna has over 25 years of expertise in data management and business architecture and is a renowned industry specialist in information management. Building Data Trust through Data Quality, Literacy and Governance”. Stewart is the Vice President of IDC’s Data Integration and Intelligence Software service.

Data Governance 52

Data Governance Consulting Data-driven Digital Transformation 52

Jet Global

AUGUST 24, 2023

It streamlines data integration, ensures real-time access to accurate information, enhances collaboration, and provides the flexibility needed to adapt to evolving ERP systems and business requirements. Quickly and easily identify data quality or compatibility issues prior to migration for successful data cleanup and configuration.

Finance 52

Finance Reporting Data Integration Risk 52