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 116

Data Quality Analytics Testing Sales 116

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

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

Data Quality 68

Data Quality Metrics Visualization Dashboards 68

AWS Big Data

JUNE 6, 2023

Alerts and notifications play a crucial role in maintaining data quality because they facilitate prompt and efficient responses to any data quality issues that may arise within a dataset. This proactive approach helps mitigate the risk of making decisions based on inaccurate information.

Data Quality 71

Data Quality Metrics Data-driven Visualization 71

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

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

Corinium

JANUARY 13, 2020

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

Data Quality 311

Data Quality Analytics 311

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 Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CIO Business Intelligence

AUGUST 2, 2022

Data analytics and business intelligence are critical to every business, but especially important in the energy industry, as information is channeled from consumers and commercial clients related to usage that feeds into AES’ sustainability and services planning. The second is the data quality in our legacy systems.

Data Quality 97

Data Quality Digital Transformation Machine Learning Predictive Analytics 97

AWS Big Data

OCTOBER 10, 2023

Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake. Data confidentiality and data quality are the two essential themes for data governance.

Data Quality 88

Data Quality Data Governance Data Lake Testing 88

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

Dataiku

APRIL 19, 2021

Data needs to be valuable, thus of high quality , to drive machine learning model success.

Data Quality 105

Data Quality Machine Learning Modeling Management 105

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 144

Analytics Data Governance Data Quality Management 144

IBM Big Data Hub

JUNE 12, 2023

People analytics is at the center of human resources (HR) strategy and planning. Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. According to a Gartner report , poor data quality costs organizations an average of USD 12.9

Data Quality 69

Data Quality Data Governance People Analytics Data-driven 69

Alation

MAY 24, 2022

In a sea of questionable data, how do you know what to trust? Data quality tells you the answer. It signals what data is trustworthy, reliable, and safe to use. It empowers engineers to oversee data pipelines that deliver trusted data to the wider organization. Today, as part of its 2022.2

Data Quality 52

Data Quality Metadata Reporting Metrics 52

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 303

Data Quality Modeling Analytics IT 303

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

IBM Big Data Hub

AUGUST 2, 2023

People analytics is at the center of Human Resources (HR) strategy. Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent.

Data Quality 66

Data Quality Snapshot Data Governance Data-driven 66

AWS Big Data

JUNE 6, 2023

Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities. AWS Glue Data Quality measures and monitors the quality of your dataset. It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines.

Data Quality 66

Data Quality Data Lake Visualization Data-driven 66

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

Dataiku

JULY 25, 2023

In a survey of 400 global data leaders , nearly a quarter of respondents (24%) cited a “lack of quality data or ability to easily access the right data” as their most present barrier to delivering more value from analytics and AI.

Data Quality 52

Data Quality Analytics 52

DataKitchen

MAY 7, 2024

DataKitchen Training And Certification Offerings For Individual contributors with a background in Data Analytics/Science/Engineering Overall Ideas and Principles of DataOps DataOps Cookbook (200 page book over 30,000 readers, free): DataOps Certificatio n (3 hours, online, free, signup online): DataOps Manifesto (over 30,000 signatures) One (..)

Data Quality 167

Data Quality Testing Consulting Metrics 167

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. A decentralized, flexible data processing infrastructure. Let’s take a look.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Alation

DECEMBER 7, 2021

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Does the quality of this dataset meet user expectations?

Data Quality 52

Data Quality Metadata Testing Data Governance 52

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 283

Data Quality Modeling Analytics 283

Jet Global

DECEMBER 8, 2022

Report from insightsoftware and Hanover Research reveals the gaps that need to be bridged to reach data fluency, noting challenges in data quality and connection. According to the report, the first hurdle for businesses is a lack of data quality. Many organizations are not there, yet. About insightsoftware.

Data Quality 52

Data Quality Forecasting Data-driven Reporting 52

Analytics Vidhya

MAY 30, 2023

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

Machine Learning 296

Machine Learning Data Quality Modeling Analytics 296

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 67

Analytics Data Quality Visualization Metadata 67

CIO Business Intelligence

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Analytics 118

Analytics Broadcasting Predictive Analytics Metrics 118

Smarten

DECEMBER 11, 2019

Data Quality vs. Data Agility – A Balanced Approach! When it comes to analytical quality versus analytical agility, we might see the issue in the same light. The information will be based on sophisticated analytics, but can be derived in minutes so users can make informed, fact-based decisions.

Data Quality 52

Data Quality Predictive Modeling Data-driven Visualization 52

Smart Data Collective

DECEMBER 21, 2022

A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. The Global BPO Business Analytics Market was worth nearly $17 billion last year. Unfortunately, some business analytics strategies are poorly conceptualized.

Business Analytics 111

Business Analytics Analytics Data Quality Big Data 111

DataKitchen

APRIL 11, 2023

He drew from his twenty-five years of experience in business analytics, pharmaceutical brand launch strategy, and project management. He also highlighted the importance of agility and adaptability in data analytics.

Data Analytics 130

Data Analytics Analytics Cost-Benefit Data Quality 130

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 280

Forecasting Data Quality Modeling Analytics 280

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 283

Machine Learning Data Quality Data Science Publishing 283

Andrew White

AUGUST 26, 2020

I spoke to a client recently who had this question: “I need help to develop a survey to ask our employees around the company how they regard the various subjective metrics tied to data quality.” What was the point of the data quality work? I explained to the client: Stop this bottom up data-focused work.

Data Quality 52

Data Quality Data Governance Metrics Measurement 52

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 236

Deep Learning Data Quality Data Science Publishing 236

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304