DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. Matillion offers powerful data integration and transformation capabilities that improve development productivity.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

CIO Business Intelligence

JUNE 27, 2022

Mark Twain famously remarked that there are three kinds of lies: lies, damned lies, and statistics. If your company has data, you’re definitely leveraging it and trying to use insights from analytics to drive positive business outcomes,” says John Loury, president and CEO of Cause + Effect Strategy, a business intelligence consulting firm.

Metrics 133

Metrics KPI IT Consulting 133

datapine

MAY 29, 2019

BI architecture has emerged to meet those requirements, with data warehousing as the backbone of these processes. One of the BI architecture components is data warehousing. What Is Data Warehousing And Business Intelligence? A solid BI architecture framework consists of: Collection of data. Data integration.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

CIO Business Intelligence

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. Top 9 business intelligence certifications.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

IBM Big Data Hub

NOVEMBER 4, 2022

Increasingly enterprise data is spread across multiple environments which contributes to inconsistent data silos that complicate data governance initiatives and create data integrity issues that could impact Business Intelligence and analytics applications.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

Sisense

JANUARY 14, 2021

Users open their dashboards expecting every chart to be fully functional and accurate; if they encounter a broken chart, distrust of the dashboard or the underlying data is a natural reaction. Michael Hartmann, VP of Business Intelligence With a Master of Science in physics, Michael has been working in data analysis and fintech since 2014.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. The CEO also makes decisions based on performance and growth statistics.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

Birst BI

OCTOBER 30, 2018

Because the data describing each transaction was in a database, this made it easy to retrieve and summarize multiple transactions together. This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Automate the data processing sequence.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smarten

JANUARY 3, 2019

Citizen Analysts (AKA Citizen Data Scientists) represent a new breed of business user. Business users can work with self-serve advanced data discovery and advanced analytical tools using a drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge.

Business Intelligence 40

Business Intelligence Statistics Interactive Reporting 40

FineReport

FEBRUARY 28, 2020

The enterprise reporting portal also helps organize and manage reports according to business topics to facilitate users to find reports easily. What Is the Difference Between Enterprise Reporting and Business Intelligence? The central one is the data visualization technology at the display level. From FineReport.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

CIO Business Intelligence

JANUARY 9, 2024

A 2023 poll of 1,500-plus AI practitioners and decision-makers , conducted by S&P Global Market Intelligence for data platform maker WEKA, found that data management was the most frequently cited technological inhibitor to AI and machine learning deployments.

IT 140

IT Risk Cost-Benefit Enterprise 140

Peter James Thomas

SEPTEMBER 19, 2018

Data Classification. Data Consistency. Data Controls. Data Curation (contributor: Tenny Thomas Soman ). Data Democratisation. Data Dictionary. Data Engineering. Data Ethics. Data Integrity. Data Lineage. Data Platform. Data Strategy. Information Governance.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

FineReport

JULY 18, 2022

The features you or your company need are core factors influencing your selection of the data analytics tool. For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. FineRepor t.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

DataKitchen

MAY 10, 2021

Figure 1: The process of transforming raw data into actionable business intelligence is a manufacturing process. When something goes wrong, you need to know about it as it’s happening to ensure that errors don’t reach customers or business partners. Statistical Process Control. Business Logic Tests.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. The Altron team created an AWS Glue crawler and configured it to run against Azure SQL to discover its tables.

Optimization 90

Optimization B2B Data Quality Sales 90

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

CIO Business Intelligence

SEPTEMBER 22, 2023

What are the benefits of data management platforms? Modern, data-driven marketing teams must navigate a web of connected data sources and formats. Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics.

Management 105

Management Advertising Data Lake Sales 105

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

Data Lake 95

Data Lake Data Warehouse Metadata Data Architecture 95

CIO Business Intelligence

JUNE 9, 2022

In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely. Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics.

Management 144

Management Advertising Data Lake Sales 144

Smarten

APRIL 12, 2018

Can Augmented Data Discovery Make a Difference in My Organization? There are so many new terms in the business intelligence and advanced analytics domain. So, what is augmented data discovery, and why is it important for your enterprise? There are a couple of components to the augmented data discovery continuum.

Statistics 40

Statistics Forecasting Machine Learning Business Intelligence 40

FineReport

JANUARY 5, 2022

In addition, it can provide a predictive analysis of a specific issue based on statistics and historical data. Still, it is also widely used to analyze current data in various industries. The key to business intelligence (BI) is in the analytical reports. Benefits of analytics report. Set the title.

Reporting 52

Reporting Analytics Visualization Dashboards 52

Cloudera

NOVEMBER 2, 2020

These are end-to-end, high volume applications that are used for general purpose data processing, Business Intelligence, operational reporting, dashboarding, and ad hoc exploration. But an important caveat is that ingest speed, semantic richness for developers, data freshness, and query latency are paramount.

Data Warehouse 96

Data Warehouse Optimization Dashboards Interactive 96

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

MAY 21, 2019

We found that companies that have successfully adopted machine learning do so either by building on existing data products and services, or by modernizing existing models and algorithms. Use ML to unlock new data types—e.g., In an age of data-hungry algorithms, everything really begins with collecting and aggregating data.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

FineReport

APRIL 3, 2024

Unveiling BI Dashboard Tools In today’s data-driven environment, Business Intelligence (BI) visualization tools are indispensable for driving data-informed decisions. Conversely, reports provide in-depth analysis suited for detailed examinations and data exploration. Top BI Dashboard Tools 5.1

Dashboards 52

Dashboards Visualization Metrics Interactive 52

datapine

MAY 17, 2021

Then, you can apply the information gleaned from your data across all teams and departments, which will enable you to make collective decisions that will ultimately solve challenges and create sustainable solutions in a number of key areas. Top Attributes You Should Look For In Data Discovery Tools. Does this sound familiar?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

erwin

NOVEMBER 6, 2020

Metadata Harvesting and Ingestion : Automatically harvest, transform and feed metadata from virtually any source to any target to activate it within the erwin Data Catalog (erwin DC). Data Cataloging: Catalog and sync metadata with data management and governance artifacts according to business requirements in real time.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

CIO Business Intelligence

JULY 6, 2023

The enterprise IA program is delivering on “experience, effectiveness, and efficiency — giving our employees more time to focus on creative innovations and upskilling,” says Steve Sorensen, vice president of technology services, supply chain, data integration, and reliability engineering at J&J. “It Secure sponsorship.

Cost-Benefit 119

Cost-Benefit Technology Unstructured Data Testing 119

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52