Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

Data Quality 64

Data Quality Analytics Machine Learning Visualization 64

DataKitchen

MAY 10, 2021

And the worst part – data errors take the fun out of data science. Remember your first data science courses? You probably imagined your career would be about helping drive insights with data instead of having to sit in endless meetings discussing analytics errors and painstaking corrective actions.

Testing 214

Testing Manufacturing Data Quality Statistics 214

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

O'Reilly on Data

DECEMBER 12, 2019

Residual plots place input data and predictions into a two-dimensional visualization where influential outliers, data-quality problems, and other types of bugs often become plainly visible. Small residuals usually mean a model is right, and large residuals usually mean a model is wrong.

Machine Learning 276

Machine Learning Modeling Testing Risk Management 276

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Data Virtualization

SEPTEMBER 12, 2024

Reading Time: 2 minutes In today’s data-driven landscape, the integration of raw source data into usable business objects is a pivotal step in ensuring that organizations can make informed decisions and maximize the value of their data assets. To achieve these goals, a well-structured.

Data Integration 52

Data Integration Business Objectives Data-driven Management 52

TDAN

AUGUST 7, 2024

Being an AI-ready organization involves identifying and then overcoming data issues that hinder the effective use of AI and generative AI. These organizations ensure their data is prepared for AI applications including data cleansing, normalization, and data integrity.

Data Science 91

Data Science Data Integration Data Quality IT 91

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

Andrew White

JUNE 11, 2019

Google acquires Looker – June 2019 (infrastructure/search/data broker vendor acquires analytics/BI). Salesforce closes acquisition of Mulesoft – May 2018 (business app vendor acquires data integration). Data Management. Data and Analytics Governance. Some aspects of Data Quality.

IT 82

IT Data Quality Data Integration Business Objectives 82

Smarten

JANUARY 30, 2024

Business users cannot even hope to prepare data for analytics – at least not without the right tools. Gartner predicts that, ‘data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ It’s simple.

Analytics 69

Analytics Visualization Data Quality Metadata 69

Smarten

APRIL 7, 2022

Include Self-Serve Data Preparation in Your Augmented Analytics Solution ! Gartner predicted that ‘…data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ Enable Social BI and data popularity. Ensure data quality.

Data Quality 78

Data Quality Data Governance Data Science Data Integration 78

Data Virtualization

NOVEMBER 28, 2024

appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. One surprising statistic from the Rand Corporation is that 80% of artificial intelligence (AI). The post How Do You Know When You’re Ready for AI?

Statistics 52

Statistics Data Integration Management Data Quality 52

IBM Big Data Hub

APRIL 27, 2022

The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. Read: The first capability of a data fabric is a semantic knowledge data catalog, but what are the other 5 core capabilities of a data fabric? What’s a data mesh?

Management 79

Management Metadata Data Architecture Data Lake 79

Data Virtualization

OCTOBER 31, 2024

Reading Time: 2 minutes When making decisions that are critical to national security, governments rely on data, and those that leverage the cutting edge technology of generative AI foundation models will have a distinct advantage over their adversaries. Pros and Cons of generative AI.

Management 52

Management Modeling Data Integration Technology 52

IBM Big Data Hub

JANUARY 17, 2023

This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. The result is more useful data for decision-making, less hassle and better compliance. Data integration. Data science and MLOps. Start a trial. Start a trial.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. 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.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

APRIL 28, 2022

Having disparate data sources housed in legacy systems can add further layers of complexity, causing issues around data integrity, data quality and data completeness.

Analytics 98

Analytics Insurance Big Data Uncertainty 98

IBM Big Data Hub

MAY 9, 2022

These use cases provide a foundation that delivers a rich and intuitive data shopping experience. This data marketplace capability will enable organizations to efficiently deliver high quality governed data products at scale across the enterprise. Multicloud data integration. million each year [1] and $1.2

Management 56

Management Data Quality Metadata Data Integration 56

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Smarten

AUGUST 4, 2023

If your team has easy-to-use tools and features, you are much more likely to experience the user adoption you want and to improve data literacy and data democratization across the organization. Sophisticated Functionality – Don’t sacrifice functionality to get ease-of-use.

Data Lake 52

Data Lake Machine Learning Data Integration Data Quality 52

Cloudera

AUGUST 31, 2021

Separated Big Data cluster from other programs for Data Science / Discovery to isolate workloads. Migration of historical data from EDW Platform. Mainframe CDC using IBM Infosphere Data Replicator (IIDR). Leveraged delivery accelerators as well as a Data Quality framework customized by the client.

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

Data Virtualization

JULY 4, 2024

The post Harnessing Real-Time, Integrated Data to Accelerate ESG Initiatives appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Finance 65

Finance Data Integration Management Data Quality 65

Data Virtualization

MARCH 15, 2024

Join us as we embark on a journey to explore this intriguing domain, unravelling its core principles, diverse applications, associated benefits, The post Hyper-Personalization in Banking: Principles, Applications, Benefits, and Best Practices appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and (..)

Interactive 65

Interactive Data Integration Management Predictive Analytics 65

Ontotext

MARCH 27, 2024

Poor data modeling capabilities of LPGs with vendor specific constructs to express semantic constraints hinders portability, expressibility, and semantic data integration. It accelerates data projects with data quality and lineage and contextualizes through ontologies , taxonomies, and vocabularies, making integrations easier.

Modeling 53

Modeling Metadata Data Quality Enterprise 53

Data Virtualization

NOVEMBER 25, 2020

In recent years, we have seen wide adoption of data analytics. Some issues that have been most often cited for this include: Poor data quality: While preparing. However, most organizations continue to find it challenging to quickly yield actionable insights.

Data Analytics 52

Data Analytics Analytics Data Quality Digital Transformation 52

Alation

DECEMBER 15, 2022

March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. 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

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

Data Virtualization

OCTOBER 19, 2023

This is why data mesh has emerged as a revolutionary approach to managing and scaling data infrastructure. The post Data Mesh: Challenges and Solutions appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management Data-driven Data Quality 52

FineReport

JULY 18, 2022

RapidMiner is a data science platform that supports the entire analytics lifecycle. It is designed for both no-coding domain experts and experienced data scientists in an enterprise, regardless of their skill level. Talend is a data integration tool that helps your company to make decisions based on healthy data.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52

Data Virtualization

MARCH 7, 2024

One thing is clear; if data-centric organizations want to succeed in. The post Data Management Predictions for 2024: Five Trends appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 59

Management Data Integration Strategy Data Lake 59

Data Virtualization

JANUARY 25, 2024

One thing is clear; if data-centric organizations want to succeed in 2024, The post Data Management Predictions for 2024: Five Trends appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 59

Management Data Integration Strategy Data Lake 59

Alation

JULY 28, 2022

Lift and shift perpetuates the same data problems, albeit in a new location. In many cases, businesses have tons of data, but the data can’t be trusted. If you don’t have a well-defined business problem, your analytics or data science project will be an expensive failure. Data quality /wrangling.

Data Warehouse 69

Data Warehouse Cost-Benefit Data-driven Data Governance 69

Data Virtualization

SEPTEMBER 26, 2024

That’s why we created this series of posts exploring the powerful combination of data fabric, The post A Deep Dive into Harnessing Generative AI with Data Fabric and RAG appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management Technology IT 52

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 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

Andrew White

JANUARY 9, 2022

This research does not tell you where to do the work; it is meant to provide the questions to ask in order to work out where to target the work, spanning reporting/analytics (classic), advanced analytics and data science (lab), data management and infrastructure, and D&A governance. We write about data and analytics.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Peter James Thomas

SEPTEMBER 19, 2018

Data Classification. Data Consistency. Data Controls. Data Curation (contributor: Tenny Thomas Soman ). Data Democratisation. Data Dictionary. Data Engineering. Data Ethics. Data Integrity. Data Lineage. Data Platform. Data Strategy. Information Governance.

Analytics 45

Analytics Testing Data Strategy Data Integration 45