Howard Dresner

JANUARY 4, 2015

I kicked off a recent discussion with this question to the group: “What are the top five worst practices in business intelligence?” I certainly don’t want to minimize the great successes organizations are having with business intelligence. It took only a few minutes for them to toss out a lot more than five.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

datapine

NOVEMBER 19, 2019

Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward. Let us take a look into the individual concepts of social and collaborative business intelligence to learn more about how they help companies.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

AWS Big Data

MARCH 29, 2024

However, to analyze trends over time, aggregate from different dimensions, and share insights across the organization, a purpose-built business intelligence (BI) tool like Amazon QuickSight may be more effective for your business. Select Publish new dashboard as , and enter GlueObservabilityDashboard.

Metrics 101

Metrics Visualization Dashboards Interactive 101

Cloudera

FEBRUARY 28, 2019

We’ve just published our most recent customer success story ! This story gives a look at how HelloFresh is becoming a more data centric organization to better serve its customers. For HelloFresh, data is key to understanding customer preferences, including what recipes, ingredients, and meals each household likes.

Data Warehouse 53

Data Warehouse Forecasting Data-driven Dashboards 53

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

CIO Business Intelligence

JULY 10, 2023

Rokita believes the key to making that transition is to stop thinking of data warehousing and AI/ML as separate departments with their own distinct systems. The data warehouse is about past data, and models are about future data.

Data Warehouse 93

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 93

FineReport

FEBRUARY 28, 2020

The enterprise reporting tool helps set manual reports as report templates to realize the automation of the business report. . Then the reporting engine publishes these reports to the reporting portal to allow non-technical end-users access. In this way, users can gain insights from the data and make data-driven decisions. .

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. Dimension-based models have been used extensively to build data warehouses.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

CIO Business Intelligence

JANUARY 8, 2024

Data management is another key priority for Cathay this year, as the company aims to consolidate data feeds and data repositories from its multiple data warehouses to better enable analytics in all applications, Nair says.

Optimization 100

Optimization Digital Transformation Cost-Benefit Data Warehouse 100

AWS Big Data

JUNE 23, 2023

Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

CIO Business Intelligence

NOVEMBER 23, 2022

Artificial intelligence (AI). Data warehouse. Business intelligence. Data modeling. Both men also worked for IBM during this time, and that’s when Zachman published the framework in the IBM Systems Journal in 1987. Microsoft Azure. Strategy development. Enterprise solutions. Software architecture.

Enterprise 126

Enterprise Cost-Benefit Digital Transformation Strategy 126

FineReport

DECEMBER 17, 2019

Jaspersoft ETL – an open-source ETL system that is easy to deploy and execute, creating a comprehensive data warehouse and data set. The documents can be published and exported in a variety of document formats. Once installed, reports can be created and published quickly. From Google. From Google.

Reporting 98

Reporting Dashboards Visualization Cost-Benefit 98

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Business Metadata.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Jet Global

OCTOBER 10, 2019

Microsoft has invested heavily in its business intelligence (BI) and analytics platforms for over 12 years. As one of the most widely used data visualization tools in the world, Power BI has made some huge improvements to creating custom visualizations that we want to share with you.

Visualization 56

Visualization Dashboards KPI Reporting 56

Alation

FEBRUARY 20, 2020

Organizations who are so successful in their adoption of self-service analytics, that their own business intelligence (BI) evangelists worry that they’ve created an analytics “wild west.” When they see a data catalog for the first time, they’re thrilled that a product exists that can govern the west and increase analyst productivity.

Marketing 52

Marketing Data Lake Dashboards Business Intelligence 52

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. The program manager should lead the vision for quality data and ROI. million a year.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Jet Global

JULY 23, 2019

According to Gartner, Microsoft’s Power BI is the number one application ecosystem in the business intelligence environment. Power BI Desktop opens a new era in data analysis and reporting. Power BI Desktop opens a new era in data analysis and reporting. The Power of Excel with Data Warehouse Automation: Jet Analytics.

Dashboards 71

Dashboards Reporting Visualization Data Warehouse 71

Smarten

NOVEMBER 22, 2017

Advanced Analytics is comprised of numerous sophisticated analytical techniques, designed to parse, explore and analyze data and produce results to support business decisions. Advanced Analytics provides a 360 degree view of data from data marts, data warehouses, best-of-breed, legacy systems and other data sources.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Ms SQL Girl

FEBRUARY 3, 2015

Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Alation

JANUARY 26, 2023

Lack of data governance can summon a whole range of problems, including: Lack of consistency For data to be useful, it should be consistent across all areas. A field might not be entered in the same way across different departments, which makes the data difficult to find and affects the accuracy of business intelligence (BI).

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Ms SQL Girl

MARCH 30, 2015

Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards Visualization KPI Interactive 40

CIO Business Intelligence

FEBRUARY 14, 2023

Machine learning models require quality data for model development and for decisioning when the machine learning models are put in production. Working with the real-time data and the features in one centralized database environment accelerates machine learning model execution.

Data Strategy 113

Data Strategy Strategy Machine Learning Data-driven 113

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 91

Data Warehouse Cost-Benefit Dashboards Optimization 91

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

FineReport

APRIL 21, 2024

From addressing implementation challenges to conducting a comparative analysis of leading options, we delve into how embedded BI tools empower organizations to make informed decisions and drive business intelligence initiatives with unprecedented efficiency and precision. What Are Embedded BI Tools?

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

IBM Big Data Hub

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 76

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 76

Smarten

NOVEMBER 26, 2023

How Do We Define Business Intelligence Today? Business Intelligence (BI) is the lifeblood of an organization. As the Business Intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs.

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

IBM Big Data Hub

APRIL 8, 2024

Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS This includes capabilities for alarming or notifying based on monitoring metrics and log collection with publishing capabilities.   Scalability 5.

Snapshot 74

Snapshot Data Warehouse Data Processing Management 74

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool.

Metrics 76

Metrics Data Warehouse Dashboards Snapshot 76

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 66

Modeling Sales Data Warehouse Snapshot 66

CIO Business Intelligence

SEPTEMBER 21, 2022

“The good news for many CIOs is that they’ve already laid the groundwork through investments in data governance and migration to the cloud,” LiveRamp noted in a recent report. Inconsistent data , which can result in inaccuracies in interacting with customers, and affect the internal operational use of data.

Risk 93

Risk Data Lake Marketing Interactive 93

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 104

Management Advertising Data Lake Sales 104

CIO Business Intelligence

MARCH 16, 2022

Over time we’ve started using cloud to support business operations, including Xero for financial accounting, NeupartOne for risk and compliance and PureCloud for our call centre telephony. This phase includes the migration of our data warehouse and business intelligence capabilities, using Synapse and PowerBI respectively.

Insurance 92

Insurance Cost-Benefit Data Processing Strategy 92

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 143

Management Advertising Data Lake Sales 143