Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? These discussions are a critical prerequisite for determining data usage, standards, and the business relevant metrics for measuring and improving data quality.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

CIO Business Intelligence

NOVEMBER 13, 2024

Now, picture doing that with a mountain of data. LeverX, the Miami-based IT consulting wizard, makes this transition smooth and hassle-free with its cutting-edge platform, DataLark. By automating data profiling and validation, it minimizes errors and maintains data integrity throughout the migration.

Cost-Benefit 64

Cost-Benefit Data-driven Data Integration Data Quality 64

CIO Business Intelligence

APRIL 17, 2024

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts.

Cost-Benefit 128

Cost-Benefit B2B Marketing Enterprise 128

CIO Business Intelligence

JANUARY 24, 2024

“Organizations often get services and applications up and running without having put stewardship in place,” says Marc Johnson, CISO and senior advisor at Impact Advisors, a healthcare management consulting firm. Creating data silos Denying business users access to information because of data silos has been a problem for years.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

FEBRUARY 20, 2023

Salesforce certification overview Salesforce certifications are based on a role-based scheme centered on six roles: Administrator, Architect, Consultant, Designer, Developer, and Marketer. According to a study by Indeed.com , 70% of Salesforce developers in the US are satisfied with their salaries given the cost of living in their area.

Consulting 87

Consulting B2B Sales Cost-Benefit 87

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 83

Data Governance Data Processing Data Quality Metadata 83

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

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 Data Analytics 130

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 Machine Learning Consulting 78

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

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 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

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

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 Predictive Analytics Data Processing 56

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

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 59

Analytics Predictive Modeling KPI Machine Learning 59

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 52

Data Governance Enterprise Modeling Risk 52

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

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 Machine Learning 52

Jet Global

FEBRUARY 25, 2025

Data cleansing is the process of identifying and correcting errors, inconsistencies, and inaccuracies in a dataset to ensure its quality, accuracy, and reliability. This process is crucial for businesses that rely on data-driven decision-making, as poor data quality can lead to costly mistakes and inefficiencies.

Cost-Benefit 52

Cost-Benefit Data Collection Finance Reporting 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 Statistics Visualization 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 Data-driven Modeling 64

CIO Business Intelligence

APRIL 1, 2024

Sixty-six percent of C-level executives are ambivalent or dissatisfied with the progress of their AI or GenAI efforts, according to Boston Consulting Group 1. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. 1 From Potential to Profit with GenAI, Boston Consulting Group, Jan.

Data Lake 142

Data Lake Uncertainty Consulting Risk 142

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

DataKitchen

NOVEMBER 27, 2024

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. However, not all data quality dashboards are created equal. These dimensions provide a best practice grouping for assessing data quality.

Data Quality 216

Data Quality Dashboards Metrics Cost-Benefit 216

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 Data Warehouse 52

Wayne Yaddow

MARCH 28, 2025

Unleashing GenAIEnsuring Data Quality at Scale (Part2) Transitioning from individual repository source systems to consolidated AI LLM pipelines, the importance of automated checks, end-to-end observability, and compliance with enterprise businessrules. First: It is critical to set up a thorough data inventory and assessment procedure.

Data Quality 52

Data Quality Data Integration Data Governance Metadata 52

CIO Business Intelligence

MARCH 17, 2025

AI is everywhere transforming industries, reshaping workflows, and promising a future of limitless possibilities, says Paul Pallath, vice president of applied AIat technology consulting firm Searce. Without solid data foundations, AI adoption becomes nearly impossible, Genpacts Menon says.

Measurement 129

Measurement Strategy Risk ROI 129

CIO Business Intelligence

OCTOBER 23, 2024

We moved onto the AWS tech stack with both structured and unstructured data.” Getting data out of legacy systems and into a modern lake house was key to being able to build AI. “If If you have data or data integrity issues, you’re not going to get great results,” he says. This is not new to AI.

Cost-Benefit 136

Cost-Benefit Enterprise Testing Consulting 136

CIO Business Intelligence

NOVEMBER 25, 2024

“Today’s CIOs inherit highly customized ERPs and struggle to lead change management efforts, especially with systems that [are the] backbone of all the enterprise’s operations,” wrote Isaac Sacolick, founder and president of StarCIO, a digital transformation consultancy, in a recent blog post. The process has not been all smooth sailing.

Digital Transformation 131

Digital Transformation Data Warehouse Data Governance Enterprise 131

BI-Survey

MARCH 6, 2025

For data management teams, achieving more with fewer resources has become a familiar challenge. While efficiency is a priority, data quality and security remain non-negotiable. Developing and maintaining data transformation pipelines are among the first tasks to be targeted for automation.

Data Warehouse 52

Data Warehouse Metadata Unstructured Data Data-driven 52