datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Corinium

JANUARY 13, 2020

In the last decade regulatory requirements in financial services increased significantly.

Data Quality 311

Data Quality Analytics 311

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Corinium

JANUARY 21, 2020

We are pleased to be working with our media partner, IQ International on our Chief Data & Analytics Officer Brisbane event, where they will be sharing some of their work in developing best practice data quality metrics for every industry. We will be joined by Dan Myers (USA), President at IQ International.

Data Quality 195

Data Quality Metrics Analytics 195

DataKitchen

DECEMBER 9, 2024

A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. data engineers delivered over 100 lines of code and 1.5

Data Quality 161

Data Quality Data Lake Testing Statistics 161

Smart Data Collective

APRIL 20, 2022

Companies that utilize data analytics to make the most of their business model will have an easier time succeeding with Amazon. One of the best ways to create a profitable business model with Amazon involves using data analytics to optimize your PPC marketing strategy.

Data Quality 128

Data Quality Analytics Testing Sales 128

DataKitchen

MARCH 20, 2025

Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges.

Data Quality 161

Data Quality Testing Metrics Management 161

AWS Big Data

DECEMBER 4, 2024

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving.

Data Analytics 85

Data Analytics Analytics Data Lake Data Quality 85

CIO Business Intelligence

APRIL 8, 2025

As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Corinium

FEBRUARY 3, 2020

Using data to inform business decisions only works when the data is correct. Unfortunately for the insurance industry’s data leaders, many data sources are riddled with inaccuracies. Data is the lifeblood of the insurance industry.

Insurance 221

Insurance Data Quality Risk Management 221

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

To improve data reliability, enterprises were largely dependent on data-quality tools that required manual effort by data engineers, data architects, data scientists and data analysts.  With the aim of rectifying that situation, Bigeye’s founders set out to build a business around data observability.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

Corinium

APRIL 29, 2020

Matthew Bernath, Head of Data Analytics at Rand Merchant Bank, discusses why ensuring data is high quality remains a key challenge for businesses today with Corinium's Craig Steward.

Data Quality 195

Data Quality Data Analytics Analytics 195

CIO Business Intelligence

NOVEMBER 19, 2024

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

Analytics 97

Analytics Cost-Benefit Finance Data-driven 97

Analytics Vidhya

MAY 30, 2023

Inadequate data quality can give rise to erroneous predictions, unreliable insights, and overall performance.

Machine Learning 325

Machine Learning Data Quality Modeling Analytics 325

AWS Big Data

AUGUST 8, 2024

They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules commonly assess the data based on fixed criteria reflecting the current business state. In this post, we demonstrate how this feature works with an example.

Data Quality 112

Data Quality Statistics Visualization Metrics 112

Analytics Vidhya

SEPTEMBER 2, 2021

Poor data results in poor judgments. Running unit tests in data science and data engineering projects assures data quality. The post Unit Test framework and Test Driven Development (TDD) in Python appeared first on Analytics Vidhya. You know your code does what you want it to do.

Testing 341

Testing Data Quality Data-driven Data Science 341

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. In our opinion, both terms, agile BI and agile analytics, are interchangeable and mean the same. What Is Agile Analytics And BI? Agile Business Intelligence & Analytics Methodology.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

APRIL 3, 2024

Today, we are pleased to announce that Amazon DataZone is now able to present data quality information for data assets. Other organizations monitor the quality of their data through third-party solutions. Additionally, Amazon DataZone now offers APIs for importing data quality scores from external systems.

Data Quality 103

Data Quality Visualization Metadata Metrics 103

AWS Big Data

AUGUST 15, 2024

Data quality is crucial in data pipelines because it directly impacts the validity of the business insights derived from the data. Today, many organizations use AWS Glue Data Quality to define and enforce data quality rules on their data at rest and in transit.

Data Quality 106

Data Quality Visualization Metadata Key Performance Indicator 106

Analytics Vidhya

MARCH 13, 2024

Monitoring these models is crucial, yet it poses challenges such as data changes, concept alterations, and data quality issues. appeared first on Analytics Vidhya. ML Monitoring aids in early […] The post Complete Guide to Effortless ML Monitoring with Evidently.ai

Data Quality 319

Data Quality Modeling Analytics IT 319

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Ensuring Data Quality in New Data Sources (#1) Introduction to Data Evaluation in Data Observability Ensuring their quality and integrity before incorporating new data sources into production is paramount.

Data Quality 124

Data Quality Interactive Dashboards Testing 124

Analytics Vidhya

JANUARY 2, 2024

This innovative technique aims to generate diverse and high-quality instruction data, addressing challenges associated with duplicate data and limited control over data quality in existing methods.

Data Quality 305

Data Quality Modeling Analytics 305

AWS Big Data

MAY 23, 2024

They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules assess the data based on fixed criteria reflecting current business states. We are excited to talk about how to use dynamic rules , a new capability of AWS Glue Data Quality.

Data Quality 100

Data Quality Metrics Sales Data Lake 100

Analytics Vidhya

DECEMBER 30, 2022

Introduction In machine learning, the data is an essential part of the training of machine learning algorithms. The amount of data and the data quality highly affect the results from the machine learning algorithms. Almost all machine learning algorithms are data dependent, and […].

Machine Learning 291

Machine Learning Data Quality Data Science Publishing 291

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

Data Quality 103

Data Quality Measurement Testing Visualization 103

Analytics Vidhya

FEBRUARY 20, 2023

Decomposing time series components like a trend, seasonality & cyclical component and getting rid of their impacts become explicitly important to ensure adequate data quality of the time-series data we are working on and feeding into the model […] The post Various Techniques to Detect and Isolate Time Series Components Using Python appeared (..)

Forecasting 291

Forecasting Data Quality Modeling Analytics 291

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Reflow — A system for incremental data processing in the cloud.

Testing 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

NOVEMBER 18, 2024

If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless. By partnering with industry leaders, businesses can acquire the resources needed for efficient data discovery, multi-environment management, and strong data protection.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

CIO Business Intelligence

DECEMBER 11, 2024

If youre not keeping up the fundamentals of data and data management, your ability to adopt AIat whatever stage you are at in your AI journeywill be impacted, Kulkarni points out. Without it, businesses risk perpetuating the very inefficiencies they aim to eliminate, adds Kulkarni.

Risk 111

Risk Data Strategy Strategy Data Governance 111

Analytics Vidhya

DECEMBER 28, 2022

Choosing the best appropriate activation function can help one get better results with even reduced data quality; hence, […]. The post Sigmoid Function: Derivative and Working Mechanism appeared first on Analytics Vidhya.

Deep Learning 277

Deep Learning Data Quality Data Science Publishing 277

Analytics Vidhya

AUGUST 28, 2024

Whether you’re cleaning up customer lists, transaction logs, or other datasets, removing duplicate rows is vital for maintaining data quality. appeared first on Analytics Vidhya.

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Data Quality Management Analytics 247

CIO Business Intelligence

NOVEMBER 4, 2024

Over the next one to three years, 84% of businesses plan to increase investments in their data science and engineering teams, with a focus on generative AI, prompt engineering (45%), and data science/data analytics (44%), identified as the top areas requiring more AI expertise. Cost, by comparison, ranks a distant 10th.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

David Menninger's Analyst Perspectives

MARCH 21, 2023

It is also important to keep up with the latest trends and technologies to derive higher value from data and analytics and maintain a competitive edge in the market. However, every organization faces challenges with data management and analytics.

Analytics 147

Analytics Data Governance Data Quality Management 147

AWS Big Data

OCTOBER 9, 2024

Today, customers are embarking on data modernization programs by migrating on-premises data warehouses and data lakes to the AWS Cloud to take advantage of the scale and advanced analytical capabilities of the cloud. Some customers build custom in-house data parity frameworks to validate data during migration.

Data Quality 95

Data Quality Data Lake Data Warehouse Metrics 95

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. The commercial use of predictive analytics is a relatively new thing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 324

Management Data Warehouse Data Quality Data Integration 324