DataKitchen

APRIL 11, 2023

He also highlighted the importance of agility and adaptability in data analytics. Using humor and wisdom, James shared his experiences with various data professionals, from data engineers and data scientists to analysts.

Data Analytics 130

Data Analytics Analytics Cost-Benefit Data Quality 130

datapine

APRIL 13, 2021

With more potential clients on the lookout, agencies need to stand out from the rest with top-quality services and unique features that will make them irreplaceable for their clients. Agency analytics is the process of taking data and transforming it into valuable insights that are then displayed with a professional agency dashboard.

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

IBM Big Data Hub

FEBRUARY 5, 2024

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. These foundation models, built on large language models, are trained on vast amounts of unstructured and external data.

Optimization 97

Optimization Management Key Performance Indicator Modeling 97

ScienceSoft

APRIL 13, 2021

No more wrong data analysis caused by bad data! Be armed with our new blog post on data quality assurance in the context of CRM.

Data Quality 98

Data Quality 98

datapine

JUNE 15, 2023

In the past, these reports were used after a month or even a year since the data being displayed was generated. They are composed of multiple graphs and charts that not only assist you in telling a complete story of performance but also make the data more accessible and understandable for a wider audience.

Reporting 207

Reporting Cost-Benefit Dashboards Sales 207

DataKitchen

JULY 12, 2023

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. They have a backlog full of new customer features or data requests, and they go to work every day knowing that they won’t and can’t meet customer expectations.

Data Quality 130

Data Quality Testing Manufacturing Finance 130

DataKitchen

JANUARY 25, 2022

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. When internal resources fall short, companies outsource data engineering and analytics. There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. .

Consulting 244

Consulting Testing Data Lake Data Quality 244

IBM Big Data Hub

APRIL 15, 2024

Or we create a data lake, which quickly degenerates to a data swamp. If the machine or equipment fails, the maintenance engineers can use gen AI to quickly diagnose problems based on the maintenance manual and an analysis of the process parameters. Or we keep adding applications, so our technical debt continues to increase.

Manufacturing 100

Manufacturing Contextual Data Knowledge Discovery Modeling 100

DataKitchen

DECEMBER 29, 2022

The Terms and Conditions of a Data Contract are Automated Production Data Tests. A data contract is a formal agreement between two parties that defines the structure and format of data that will be exchanged between them. Another benefit of data contracts is that they allow for easier maintenance and updates.

Testing 130

Testing Statistics Data Quality Data Integration 130

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. What Is Data Interpretation? Table of Contents.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

AWS Big Data

APRIL 4, 2024

Many enterprises are migrating their on-premises data stores to the AWS Cloud. During data migration, a key requirement is to validate all the data that has been moved from source to target. This data validation is a critical step, and if not done correctly, may result in the failure of the entire project.

Data Quality 60

Data Quality Data Lake Data Warehouse Data-driven 60

datapine

AUGUST 19, 2020

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. Collecting big amounts of data is not the only thing to do; knowing how to process, analyze, and visualize the insights you gain from it is key.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

datapine

MARCH 16, 2023

2) Pros & Cons Of Bar Charts 3) When To Use A Bar Graph 4) Types Of Bar Charts 5) Bar Graphs & Charts Best Practices 6) Bar Chart Examples In today’s fast-paced analytical landscape, data visualization has become one of the most powerful tools organizations can benefit from to be successful with their analytical efforts.

Visualization 196

Visualization KPI Cost-Benefit Dashboards 196

Smarten

JANUARY 30, 2024

Self-Serve Data Preparation Transforms Business Users to Citizen Data Scientists! Data Scientists spend a lot of time gathering and preparing data for analysis, and that is time they could spend more productively performing tasks that add value and strategic direction. It’s simple.

Analytics 67

Analytics Data Quality Visualization Metadata 67

CIO Business Intelligence

APRIL 25, 2022

After launching industry-specific data lakehouses for the retail, financial services and healthcare sectors over the past three months, Databricks is releasing a solution targeting the media and the entertainment (M&E) sector. They require specific data inputs, models, algorithms and they deliver very specific recommendations.

Recreation/Entertainment 116

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 116

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. Here are some key definitions, benefits, use cases and finally a step-by-step guide for integrating AI into your next marketing campaign. What is AI marketing?

Marketing 83

Marketing Technology Advertising ROI 83

Cloudera

OCTOBER 31, 2023

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. So far we’ve talked about quantity, but just as important is quality. This variable is largely out of your control, and can be dependent on the region you live in.

Data mining 77

Data mining Machine Learning Data Science Sales 77

CIO Business Intelligence

SEPTEMBER 29, 2023

Upwork analyzed data from its platform, examining the types of projects companies hired freelancers for thus far this year, to identify the most sought-after AI skills on the market. Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

Jen Stirrup

FEBRUARY 23, 2024

To achieve AI ambitions, organizations need data and a cyber-resilient data platform to support them, and this will mean a growing need for data observability. As organizations become increasingly data-driven toward achieving AI ambitions, they recognize the need to ensure data accuracy, reliability, and quality.

Data-driven 73

Data-driven Data Governance Data Quality Cost-Benefit 73

Ontotext

MARCH 13, 2024

We started with our marketing content and quickly expanded that to also integrate a set of workflows for data and content management. Through Ontotext Metadata Studio (OMDS), we then apply semantic content enrichment using text analysis based on our marketing vocabularies. The behind-the-scenes interface Let’s see how this works.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. Step 2: Data Definitions.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

IBM Big Data Hub

APRIL 20, 2023

This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change? Moreover, banks must stay in compliance with industry regulations like BCBS 239, which focus on improving banks’ risk data aggregation and risk reporting capabilities.

Risk 71

Risk Risk Management Reporting Metadata 71

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. It takes days for data engineers to identify and implement data quality rules.

Data Quality 92

Data Quality Statistics Data Lake Visualization 92

erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

IBM Big Data Hub

JUNE 20, 2023

But it also leads to a higher risk for new, unknown quality issues, and therefore potential warranty topics. Early data-driven warranty re-invention The global automotive OEMs have always faced warranty issues and therefore their warranty management capabilities are quite mature. This is where a digital twin can help. and Canada.

Manufacturing 89

Manufacturing Data-driven Internet of Things Sales 89

Domino Data Lab

DECEMBER 8, 2020

Notebooks have become one of the key primary tools for many data scientists. They offer a clear way to collaborate with others throughout the process of data exploration, feature engineering and model fitting and through utilizing some clear best practices , can also become living documents of how that code operates.

Slice and Dice 116

Slice and Dice Visualization Interactive Modeling 116

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Data Quality Metadata Data Governance 52

Cloudera

DECEMBER 19, 2023

AI-based procurement that uses natural language processing to process RFIs, RFPs, and RFQs, as well as text classification to streamline and automate processes such as supplier evaluation, contract analysis, and spend management, can streamline the procurement process and improve transparency and efficiency. Improve dataset quality.

Optimization 85

Optimization Cost-Benefit Unstructured Data Risk 85

IBM Big Data Hub

JANUARY 26, 2024

ISO55000), various business, process and data standards, management strategies and KPI systems that cover the asset lifecycle to form the best practices of asset management (EAM) in various industries. Unstable maintenance quality : The traditional maintenance approach relies on personal experience and the capabilities of maintenance workers.

Cost-Benefit 77

Cost-Benefit Enterprise Technology KPI 77

IBM Big Data Hub

FEBRUARY 28, 2024

Sourcing teams are automating processes like data analysis as well as supplier relationship management and transaction management. This helps reduce errors to improve data quality and response times to questions, which improves customer and supplier satisfaction. Read our solution brief to get started.

Strategy 102

Strategy Technology Cost-Benefit Risk Management 102

Cloudera

JANUARY 30, 2024

With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. With AI, it can even prescribe the appropriate action that needs to be taken and when.

Manufacturing 77

Manufacturing Contextual Data IoT Digital Transformation 77

IBM Big Data Hub

APRIL 25, 2024

This blog outlines some BPR examples that benefit from a BPM methodology. Steps of business process reengineering for CRM include integrating customer data from disparate sources, using advanced analytics for insights, and optimizing service workflows to provide personalized experiences and shorter wait times.

Cost-Benefit 52

Cost-Benefit Finance Optimization Key Performance Indicator 52

Andrew White

JULY 5, 2023

I blogged recently about the high level of hype and confusion across Data and Analytics just a few months ago. Here is the original blog from March 2023: Summing Up Three Days at Gartner’s Data and Analytics Conference in Orlando, Florida, USA. The fact that there are different names is one thing.

Metrics 52

Metrics Metadata Modeling Data Quality 52

IBM Big Data Hub

JULY 25, 2023

Independent research firm Verdantix recently identified IBM as a leader in their report, “ Green Quadrant: ESG Reporting and Data Management Software ” (July 17, 2023), which evaluated and provided a detailed assessment of solution providers and their product offerings.

Software 59

Software Reporting Management Data Quality 59

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 86

Metrics Machine Learning Risk Statistics 86