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

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

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

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 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 161

Data Quality Testing Consulting Metrics 161

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

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

Alation

JUNE 9, 2023

We were thrilled to attend Gartner Data and Analytics Summit 2023 , on May 22–24 in London. 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.

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

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

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 109

Business Analytics Analytics Data Quality Big Data 109

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.

Testing 124

Testing Metrics Data Quality Dashboards 124

Smart Data Collective

FEBRUARY 28, 2023

Data analytics technology has had a profound impact on the state of the financial industry. A growing number of financial institutions are using analytics tools to make better investing decisions and insurers are using analytics technology to improve their underwriting processes.

Analytics 102

Analytics Data mining Finance Analytics Technologies 102

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 9, 2022

Organizations are increasingly trying to grow revenue by mining their data to quickly show insights and provide value. In the past, one option was to use open-source data analytics platforms to analyze data using on-premises infrastructure. Cloudera and Dell Technologies for More Data Insights.

Data-driven 110

Data-driven Analytics Machine Learning Optimization 110

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

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

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. Gartner Data & Analytics Summit 2022: Keynote Highlights.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

Peter James Thomas

AUGUST 4, 2020

A revised and expanded version of the peterjamesthomas.com Data and Analytics Dictionary has been published. As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Analytical Repository.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

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 117

Metrics Software Cost-Benefit Testing 117

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer job description.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

DataKitchen

JANUARY 25, 2022

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. 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.

Consulting 244

Consulting Testing Data Lake Data Quality 244

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 98

Analytics Insurance Big Data Uncertainty 98

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

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. OpenSearch Service is used for multiple purposes, such as observability, search analytics, consolidation, cost savings, compliance, and integration.

Analytics 98

Analytics IT Data Lake Visualization 98

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? I spent the majority of my time helping clients decide which was the right Hadoop platform and which NoSQL / nonrelational data store to pick for specific use cases. The post Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

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

CIO Business Intelligence

MAY 7, 2024

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. The CDO position first gained momentum around 2008, to ensure data quality and transparency to comply with regulations following the housing credit crisis of that era.

Data Strategy 131

Data Strategy Data-driven Data Quality Strategy 131

Alation

MARCH 8, 2022

They either can’t wait for someone else to find it or can’t explain exactly what they need, so they set off to search and dig and waste time looking for that data needle in the proverbial haystack. But they then risk using the wrong data, pulling others away from more important jobs, or making bad decisions based on bad data.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

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 106

Data Collection Data Quality Big Data Data-driven 106

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

datapine

JANUARY 24, 2021

Based on your company’s strategy, goals, budget, and target customers you should prepare a set of questions that will smoothly walk you through the online data analysis and help you arrive at relevant insights. This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers.

IT 317

IT Statistics KPI Data-driven 317

AWS Big Data

JUNE 6, 2023

As most organizations, that have turned to Google Analytics (GA) as a digital analytics solution, mature they discover a more pressing need to integrate this data silo with the rest of their organization’s data to enable better analytics and resulting product development and fraud detection.

Analytics 56

Analytics Data Lake Testing Optimization 56

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 98

Data Governance Unstructured Data Metadata Data Lake 98

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. Did it use the expected amount of resources?).

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100