Octopai

OCTOBER 26, 2022

But data, at best, can only be a powerful vehicle, or a reliable GPS system. Except sometimes we call organizations “data-driven” when really the data is driving them up the wall. They’re managing the data; they’re governing the data; they’re so busy being on top of their data that they’re not actually using their data.

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

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 126

Big Data Data Analytics Analytics Predictive Modeling 126

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

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

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. Is My Dashboard Displaying The Correct Data?

Testing 100

Testing Metrics Data Quality Dashboards 100

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. What does that program look like?

Data Analytics 52

Data Analytics Analytics Data Quality Data-driven 52

DataKitchen

JUNE 7, 2021

Improve Collaboration, both Inter- and Intra -team – If the individuals in your data-analytics team don’t work together, it can impact analytics-cycle time, data quality, governance, security and more. We view the steps in analytics creation and data operations as a manufacturing process.

Testing 130

Testing IT Measurement Data-driven 130

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

Reducing the errors your customers find and those they do not are key success metrics of Data Observability Using DataKitchen DataOps Observability and DataOps TestGen. This has dramatically increased our team’s efficiency and our end stakeholders’ confidence in the data.” — Associate Director, Insights, Top 10 global pharmaceutical company.

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

AWS Big Data

DECEMBER 21, 2023

AWS Glue is a serverless data integration service that makes it straightforward to discover, prepare, and combine data for analytics, machine learning (ML), and application development. AWS Glue provides both visual and code-based interfaces to make data integration effortless.

Analytics 92

Analytics IT Data Lake Visualization 92

FineReport

APRIL 26, 2023

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. What is Big Data? What is Big Data?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

DataKitchen

JANUARY 25, 2022

The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. When internal resources fall short, companies outsource data engineering and analytics.

Consulting 244

Consulting Testing Data Lake Data Quality 244

CIO Business Intelligence

MAY 7, 2024

Now, CDOs find themselves under additional pressure to make sure organizational data is accurate and complete, as companies launch AI projects hungry for clean and easy-to-access data. This notion that the data is within their power to mine it for business advantage is different. It’s a new way of thinking.”

Data Strategy 131

Data Strategy Data-driven Data Quality Strategy 131

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. DevOps engineer.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. DevOps engineer.

Finance 98

Finance IT Software Reporting 98

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 109

Data Collection Data Quality Big Data Data-driven 109

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 124

Big Data Metrics Data Quality Machine Learning 124

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 204

Business Intelligence Data Warehouse Data Quality Dashboards 204

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

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 79

Data Analytics Management Analytics Advertising 79

CIO Business Intelligence

MAY 1, 2024

In particular, the company had to integrate billing data from SAP S/4HANA, an enterprise resource planning software designed specifically for large enterprises, with SAP Billing and Revenue Innovation Management (BRIM) and replicate the information to Google BigQuery, a fully managed, AI-ready data analytics platform.

Digital Transformation 104

Digital Transformation Enterprise Data-driven Software 104

Alation

MAY 19, 2022

Alation attended last week’s Gartner Data and Analytics Summit in London from May 9 – 11, 2022. Coming off the heels of Data Innovation Summit in Stockholm, it’s clear that in-person events are back with a vengeance, and we’re thrilled about it. Think about what data you can create.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

DataKitchen

OCTOBER 2, 2023

This comprehensive article delves into the complexities encountered by various types of data teams—Data Ingestion Teams, End-to-End Data Product Teams, and Enterprise Data Enablement Teams—to name a few. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

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. Tips for successful data cleansing.

Business Analytics 112

Business Analytics Analytics Data Quality Big Data 112

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? The problem is not “you.”

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

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. Link structured and unstructured datasets.

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

CIO Business Intelligence

JANUARY 22, 2024

Nearly 80% of hospital data is unstructured and most of it has been underutilized until now. Payers and providers will need to create a data foundation that addresses elements such as bringing in the right data, how to classify it, and how to create a data lineage so data sources can be tracked to address potential AI hallucinations.

Unstructured Data 98

Unstructured Data Digital Transformation Data Strategy Modeling 98

CIO Business Intelligence

JANUARY 24, 2024

Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Here are some data strategy mistakes IT leaders would be wise to avoid. Overlooking these data resources is a big mistake. It will not be something they can ignore.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? Here is a sample graphic from the document that covers the end-to-end data and analytics architecture on GCP: My analysis of GCP revealed some of its core strengths and weaknesses. This is the focus of my latest research which published in Jan 2019.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

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 60

Data Quality Data Lake Data Warehouse Data-driven 60

Smart Data Collective

SEPTEMBER 28, 2022

quintillion bytes of data are generated each day? Businesses are having a difficult time managing this growing array of data, so they need new data management tools. Data management is a growing field, and it’s essential for any business to have a data management solution in place. Did you know that around 2.5

Big Data 107

Big Data Management Data Quality Cost-Benefit 107

Cloudera

MARCH 3, 2022

It’s believed the source of the breach was Marriott’s Starwood subsidiary and Marriott might not have done due diligence when merging its newly acquired subsidiary’s data into its own databases. In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. Better Data Governance: A Hybrid Solution.

Data Governance 101

Data Governance Enterprise Data Quality Metadata 101

CIO Business Intelligence

MAY 1, 2024

In particular, the company had to integrate billing data from SAP S/4HANA, an enterprise resource planning software designed specifically for large enterprises, with SAP Billing and Revenue Innovation Management (BRIM) and replicate the information to Google BigQuery, a fully managed, AI-ready data analytics platform.

Digital Transformation 85

Digital Transformation Enterprise Data-driven Software 85