BizAcuity

NOVEMBER 13, 2024

In today’s data-rich environment, the challenge isn’t just collecting data but transforming it into actionable insights that drive strategic decisions. For organizations, this means adopting a data-driven approach—one that replaces gut instinct with factual evidence and predictive insights. What is BI Consulting?

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

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. Data parity can help build confidence and trust with business users on the quality of migrated data.

Data Quality 89

Data Quality Data Lake Data Warehouse Metrics 89

erwin

SEPTEMBER 2, 2024

Added data quality capability ready for an AI era Data quality has never been more important than as we head into this next AI-focused era. erwin Data Quality is the data quality heart of erwin Data Intelligence. erwin Data Quality is the data quality heart of erwin Data Intelligence.

Data Quality 52

Data Quality Data Processing Measurement Metadata 52

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. More accurately understand your target customers.

Data Quality 121

Data Quality Analytics Testing Sales 121

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

CIO Business Intelligence

NOVEMBER 4, 2024

Although we live in an increasingly data-driven world, most companies don’t operate data-driven business models. However, the tools to get more from the proprietary data you generate from everyday business processes are becoming widely accessible, and could help your company develop a competitive edge.

Data Quality 126

Data Quality Business Objectives Sales Data-driven 126

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

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. It’s a huge productivity loss.”

Data-driven 52

Data-driven Strategy Sales Data Integration 52

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 56

Data Quality Metadata Data Governance Data-driven 56

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

AWS Big Data

JUNE 6, 2023

Data is the lifeblood of modern businesses. In today’s data-driven world, companies rely on data to make informed decisions, gain a competitive edge, and provide exceptional customer experiences. However, not all data is created equal. AWS Glue Data Quality measures and monitors the quality of your dataset.

Data Quality 69

Data Quality Data Lake Visualization Data-driven 69

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

CIO Business Intelligence

NOVEMBER 4, 2024

Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Cost, by comparison, ranks a distant 10th.

Marketing 127

Marketing Data Quality Data Governance Digital Transformation 127

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. Sometimes we are so focused on perfection that we do not see the benefit of agility. Consider the emergence of the brainstorming concept as an example.

Data Quality 52

Data Quality Predictive Modeling Data-driven Visualization 52

Anmut

JULY 20, 2021

Does your organisation have a data driven culture? The amount of data has exploded in the last decade. Ever more organisations have started their journey to becoming data-driven and utilising data to make better decisions more often. Today, every organisation is a data company. What does this mean?

Data-driven 52

Data-driven Measurement Data Quality Software 52

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Quality 118

Data Quality Unstructured Data Testing Interactive 118

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.

Metrics 126

Metrics Testing Data Quality Dashboards 126

AWS Big Data

NOVEMBER 13, 2024

This second post of a two-part series that details how Volkswagen Autoeuropa , a Volkswagen Group plant, together with AWS, built a data solution with a robust governance framework using Amazon DataZone to become a data-driven factory. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution.

Metadata 75

Metadata Data Quality Digital Transformation Data-driven 75

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 304

Testing Machine Learning Consulting Data Quality 304

AWS Big Data

OCTOBER 31, 2024

Volkswagen Autoeuropa aims to become a data-driven factory and has been using cutting-edge technologies to enhance digitalization efforts. In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation.

Digital Transformation 98

Digital Transformation Metadata Manufacturing Data Quality 98

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. Knowledge graphs model knowledge of a domain as a graph with a network of entities and relationships.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

Octopai

OCTOBER 26, 2022

Data-driven organizations are a bad idea. Using data to drive your organization is wonderful. 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. And it should be.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models? Why do we need data maturity models?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

CIO Business Intelligence

OCTOBER 29, 2024

In 2018, I wrote an article asking, “Will your company be valued by its price-to-data ratio?” The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. Data theft leads to financial losses, reputational damage, and more.

Enterprise 134

Enterprise Broadcasting Risk Sales 134

CIO Business Intelligence

NOVEMBER 19, 2024

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. They are often unable to handle large, diverse data sets from multiple sources.

Analytics 52

Analytics Cost-Benefit Finance Data-driven 52

DataKitchen

MARCH 12, 2024

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Director, Data Analytics Team “We had some data issues.

Metrics 118

Metrics Software Cost-Benefit Testing 118

DataRobot Blog

DECEMBER 15, 2022

Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning. Let’s run through the process and see exactly how you can go from data to predictions. Setting up a Time Series Project.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. A single source of data truth helps companies begin to leverage data as a strategic asset.

Modeling 98

Modeling Metadata Data Governance Visualization 98

BI-Survey

MARCH 4, 2022

“We are a data-driven company,” is a familiar refrain we hear from business leaders and managers. This is evidence of a fundamental shift in mindset, reflecting the fact that leaders have now understood and internalized the concept of the data-driven enterprise.

Data-driven 52

Data-driven Data Strategy Data Governance Strategy 52

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

David Menninger's Analyst Perspectives

OCTOBER 2, 2024

I previously wrote about data mesh as a cultural and organizational approach to distributed data processing. Data mesh has four key principles—domain-oriented ownership, data as a product, self-serve data infrastructure and federated governance—each of which is being widely adopted.

Key Performance Indicator 130

Key Performance Indicator Data Governance Data Warehouse Enterprise 130

CIO Business Intelligence

MAY 2, 2023

But are product managers developing market- and customer-driven roadmaps and prioritized backlogs? One recent study shows that only 50% follow a product-centric operating model focusing on customer centricity and delivering delightful customer experiences.

Digital Transformation 141

Digital Transformation IT Data-driven Metrics 141

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.

Enterprise 277

Enterprise Testing Modeling Reporting 277

CIO Business Intelligence

JANUARY 23, 2024

Keep the number of metrics small and manageable, ideally three or four, and at most seven key ones because people cannot focus on multiple pages of data.” Efficiency metrics might show the impacts of automation and data-driven decision-making. He suggests, “Choose what you measure carefully to achieve the desired results.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

Cloudera

NOVEMBER 13, 2024

We are excited to announce the acquisition of Octopai , a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making.

Metadata 82

Metadata Management Data Governance Data-driven 82

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. By understanding the power of ETL, organisations can harness the potential of their data and gain valuable insights that drive informed choices. Let’s break down each step: 1.

Data Quality 89

Data Quality Data Warehouse Data-driven Reporting 89