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

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. Automated workflows for data product creation, testing and deployment.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

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. It is essential to recognize the evolution of the field and the changing expectations of data consumers.

Data Analytics 130

Data Analytics Analytics Cost-Benefit Data Quality 130

TDAN

SEPTEMBER 5, 2023

Understanding your data may unearth hidden insights and move your business ahead, whether you’re a small startup or an established enterprise. However, going on the road of data analytics may […]

Data Analytics 128

Data Analytics Analytics Enterprise Data Quality 128

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 125

Big Data Data Analytics Analytics Predictive Modeling 125

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

TDAN

FEBRUARY 7, 2024

It involves the gathering, classifying, and analyzing of large volumes of data. Given its very nature, it’s the perfect field for data analytics, which can speed processes up and assess the quality and reliability of data. Due […]

Data Analytics 52

Data Analytics Analytics IT Data Quality 52

Dataiku

SEPTEMBER 7, 2023

Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI.

Data Quality 64

Data Quality Data Analytics Analytics 64

Alation

JUNE 9, 2023

D&A leaders from around the world gathered to discuss and find ways to overcome the latest challenges through strategies and innovations backed by data, analytics, and data science. Here are a few of the major takeaways that surfaced from the event.

Data Analytics 52

Data Analytics Analytics Data Quality Data-driven 52

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

DataKitchen

MARCH 12, 2024

After working with DataKitchen for a while, we noticed almost an absolute absence of data errors we didn’t catch earlier. Director, Data Analytics Team “We had some data issues. That was amazing for the team.” Databricks was all green. Global Pharma Company Related Benefits Improve time to remediation.

Metrics 120

Metrics Software Cost-Benefit Testing 120

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Andrew White

MAY 19, 2021

Divya Radhakrishnan ‘s new note, 12 Actions to Improve Your Data Quality , re-entered the charts last week and went right into the number 1 spot! It was our most-read piece of research last week across data and analytics excluding branded research such as Magic Quadrants.

Analytics 52

Analytics Data Analytics Data Quality Data-driven 52

CIO Business Intelligence

MARCH 15, 2024

There is no doubt that Dr. Plumb’s technical expertise and strategic acumen will enhance the CDAO’s innovative efforts, and help accelerate the DOD’s adoption of data, analytics, and AI to generate decision advantage from the boardroom to the battlefield,” Secretary of Defense Lloyd Austin said in a statement.

Big Data 123

Big Data Metrics Data Quality Machine Learning 123

DataKitchen

JANUARY 25, 2022

Ensuring that data is available, secure, correct, and fit for purpose is neither simple nor cheap. Companies end up paying outside consultants enormous fees while still having to suffer the effects of poor data quality and lengthy cycle time. . When a job is automated, there is little advantage to outsourcing. .

Consulting 244

Consulting Testing Data Lake Data Quality 244

Smart Data Collective

APRIL 5, 2022

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. You must have quality control systems in place to get reliable data with drones.

Data Collection 108

Data Collection Data Quality Big Data Data-driven 108

Smart Data Collective

APRIL 5, 2019

A growing number of property management companies around the world are recognizing the benefits of data analytics. Analytics is a necessary element of any digital marketing strategy. Analyzing data patterns and trends is key to ensuring a company reaches the right customers and targets people in the right way.

Data Analytics 78

Data Analytics Management Analytics Advertising 78

Alation

MAY 19, 2022

Check out these materials: Join the webinar: Why an Effective Data Quality Program Includes a Data Catalog. Read the Forrester Wave: Data Governance Solutions, Q3, 2021. Metadata – and the supporting tech that can share it, integrate it, and learn from it – is key to that future. Want to learn more?

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

AWS Big Data

FEBRUARY 29, 2024

Implement data privacy policies. Implement data quality by data type and source. Let’s look at some of the key changes in the data pipelines namely, data cataloging, data quality, and vector embedding security in more detail. Imtiaz (Taz) Sayed is the WW Tech Leader for Analytics at AWS.

Data Governance 93

Data Governance Unstructured Data Metadata Data Lake 93

David Menninger's Analyst Perspectives

MARCH 17, 2022

Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance.

Business Intelligence 162

Business Intelligence Data Warehouse Data Quality Dashboards 162

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? As you can tell, data governance is a hot topic but an area that many public cloud vendors are weak in. The post Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? So, why did I decide to write on this topic? I am glad you asked.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Now, with Data Dan, you only get to ask him three questions.

IT 317

IT Statistics KPI Data-driven 317

DataKitchen

OCTOBER 2, 2023

With this information, data teams can know if everything ran on time and without errors and immediately identify the parts that didn’t. Journeys provide a context for understanding and observing complex elements across and down a data analytic system.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

CIO Business Intelligence

JANUARY 22, 2024

A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. Next is governance; the rules, policies, and processes to ensure data quality and integrity. This is the overarching guidance that drives digital transformation.

Unstructured Data 98

Unstructured Data Digital Transformation Data Strategy Modeling 98

AWS Big Data

APRIL 4, 2024

Griffin is an open source data quality solution for big data, which supports both batch and streaming mode. In today’s data-driven landscape, where organizations deal with petabytes of data, the need for automated data validation frameworks has become increasingly critical.

Data Quality 61

Data Quality Data Lake Data Warehouse Data-driven 61

Peter James Thomas

AUGUST 4, 2020

A revised and expanded version of the peterjamesthomas.com Data and Analytics Dictionary has been published. The previous Dictionary was not the easiest to read on mobile devices. Because of this, the layout has been amended in this release and the mobile experience should now be greatly enhanced.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

Smart Data Collective

DECEMBER 21, 2022

This market is growing as more businesses discover the benefits of investing in big data to grow their businesses. Unfortunately, some business analytics strategies are poorly conceptualized. One of the biggest issues pertains to data quality. Data cleansing and its purpose.

Business Analytics 111

Business Analytics Analytics Data Quality Big Data 111

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

DataKitchen

AUGUST 3, 2021

Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools. It’s no fun working in data analytics/science when you are the bottleneck in your company’s business processes. See the pattern?

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Smart Data Collective

SEPTEMBER 28, 2022

For example, if you want to know what products customers prefer when shopping at your store, you can use big data analytics software to track customer purchases. Big data analytics can also help you identify trends in your industry and predict future sales. Big data management increases the reliability of your data.

Big Data 106

Big Data Management Data Quality Cost-Benefit 106

Cloudera

MARCH 3, 2022

In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. The medical insurance company wasn’t hacked, but its customers’ data was compromised through a third-party vendor’s employee. 86% of Experian survey respondents’, for instance, are prioritizing moving their data to the cloud in 2022.

Data Governance 96

Data Governance Enterprise Data Quality Metadata 96

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

DECEMBER 13, 2023

Data quality check – The data quality module enables you to perform quality checks on a huge amount of data and generate reports that describe and validate the data quality. Shrinath Parikh as a Senior Cloud Data Architect with AWS. Pavan Kumar Bijja is a Senior Data Engineer at BMS.

Metadata 86

Metadata Data Lake Visualization Data Transformation 86

CIO Business Intelligence

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. Creating data silos Denying business users access to information because of data silos has been a problem for years.

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

Octopai

MAY 2, 2022

Data analytics ain’t what it used to be. As a data analyst, you’re no longer just providing data analytics services. You’re providing data analytics products. . Today, your business users have the same perspective on data analytics. Enter DataOps. What is DataOps? Issue detected?

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

Ontotext

MARCH 20, 2024

Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Studies reveal that businesses lose significant time and opportunities due to missing integrations and poor data quality and accessibility.

Data-driven 52

Data-driven Strategy Sales Data Integration 52