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

AWS Big Data

FEBRUARY 1, 2024

Regulators have placed an increased focus to both protect the consumer through transaction reporting (typically T+1, meaning 1 business day after the trade date) and increase transparency into markets via near-real-time trade reporting requirements. This will be your OLTP data store for transactional data. version cluster.

Data Warehouse 134

Data Warehouse Dashboards Risk Management Risk 134

AWS Big Data

NOVEMBER 13, 2023

For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. Book your spot early for the sessions you do not want to miss. 11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture.

Analytics 119

Analytics Data Lake Data Warehouse Data-driven 119

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources. AWS Glue 5.0 Finally, AWS Glue 5.0

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

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., Each card or listing contains information about a book or publication (e.g.,

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

FEBRUARY 24, 2023

Getting there has been easier said than done for Lufthansa, which was among the first airlines to build a data warehouse for its customer data, but much of that technology is now decades old. “We In the back end, we’ve made a lot of changes to enable better customer data connection with travel ID,” he says.

IT 144

IT Digital Transformation Data Warehouse Consulting 144

CIO Business Intelligence

JANUARY 16, 2023

Aside from the core cloud services, Choice also uses Amazon RedShift as a front end to its cloud data warehouse, Amazon SageMaker to build machine leaning models, and Amazon Kinesis to collect, process, and analyze real-time data. All the logic is still in Java hosted on Amazon’s infrastructure.”

Cost-Benefit 144

Cost-Benefit Digital Transformation Data Warehouse Data-driven 144

CIO Business Intelligence

NOVEMBER 28, 2023

The knock-on impact of this lack of analyst coverage is a paucity of data about monies being spent on data management. In reality MDM ( master data management ) means Major Data Mess at most large firms, the end result of 20-plus years of throwing data into data warehouses and data lakes without a comprehensive data strategy.

Management 131

Management Data Architecture Data Lake Data Strategy 131

CIO Business Intelligence

DECEMBER 22, 2022

“For example, this style makes it more feasible for data scientists to have the support of software engineering to provide what is needed when models are handed over to operations during deployment,” Ted Dunning and Ellen Friedman write in their book, Machine Learning Logistics.

Analytics 130

Analytics Machine Learning Data mining Software 130

CIO Business Intelligence

NOVEMBER 23, 2022

Artificial intelligence (AI). Data warehouse. Business intelligence. Data modeling. According to PayScale, the most commonly reported hard skills for an IT enterprise architect include: Microsoft SharePoint Server. Microsoft Azure. Strategy development. Enterprise solutions. Software architecture.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

FineReport

DECEMBER 27, 2021

Modern enterprise business intelligence (BI) tools and practices enable quick decision making. Indeed, Early action on insights allows businesses to identify internal trends and improve inefficiencies. Furthermore, It is important to note that the advantages of business intelligence vary by industry and application.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

AWS Big Data

MAY 28, 2024

Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing.

IoT 116

IoT Analytics Dashboards Data-driven 116

Jet Global

MAY 27, 2022

Synapse services serve the purpose of merging data integration, warehousing, and big data analysis together with the goal of gaining a unified experience to ingest, prepare, manage, and serve data for business intelligence needs. How Synapse works with Data Lakes and Warehouses. Book A Demo.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

CIO Business Intelligence

OCTOBER 18, 2022

One pulse sends 150 bytes of data. So, each band can send out 500KB to 750KB of data. To handle the huge volume of data thus generated, the company is in the process of deploying a data lake, data warehouse, and real-time analytical tools in a hybrid model.

Data Lake 98

Data Lake Data Warehouse Cost-Benefit Digital Transformation 98

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. He has been leading the building of data warehouses and analytic solutions for the past 20 years.

Optimization 98

Optimization B2B Data Quality Sales 98

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing data volumes and velocity can reduce the speed that teams make additions or changes to the analytical data structures at data integration points — where data is correlated from multiple different sources into high-value business assets. For data warehouses, it can be a wide column analytical table.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

IBM Big Data Hub

APRIL 8, 2024

Answer: To share feedback on the product and learn more about new features or technical updates planned for Amazon RDS for Db2, connect with your IBM or AWS representative to  book a meeting with IBM Db2 experts.  Can Amazon RDS for Db2 be used for running data warehousing workloads?

Snapshot 68

Snapshot Data Warehouse Data Processing Management 68

IBM Big Data Hub

AUGUST 28, 2023

If you’re a reader, chances are good you’ve read a book from Macmillan. It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. This data is leveraged by departments throughout the organization and is essential to their business operations.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

Occam's Razor

NOVEMBER 5, 2007

For a person such as myself who came from the traditional Data Warehouse and Business Intelligence worlds that was a non-trivial mental model transformation. For more posts like this please click here , if it might be of interest please check out my book: Web Analytics: An Hour A Day.]. It was totally worth it.

Analytics 98

Analytics Experimentation Metrics Measurement 98

Sisense

FEBRUARY 16, 2021

Data warehouses have become intensely important in the modern business world. For many organizations, it’s not uncommon for all their data to be extracted, loaded unchanged into data warehouses, and then transformed via cleaning, merging, aggregation, etc. DBT: Data Build Tool.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Alation

MAY 24, 2022

The glossary experience will be fundamentally enhanced by improving the UI and discoverability of glossaries and related business terms. Related data objects, such as tables, business intelligence, and related terms, can be directly linked for easier discovery and context. Book a demo today. Read the press release.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

IBM Big Data Hub

DECEMBER 16, 2022

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located. It uses metadata and data management tools to organize all data assets within your organization.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

InsightOut

AUGUST 6, 2021

Thus data visualization is about much more than representing data visually to achieve efficiency in communication - it is a way to tap into the core psychology of how humans perceive and learn from their ecosystems. It empowers business leaders and opens their eyes to not only what is but to what can be.

Visualization 52

Visualization Software Data Warehouse Testing 52

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

CIO Business Intelligence

JUNE 7, 2023

In a nutshell, data scientists and developers have been trying to build the most powerful, sophisticated applications for the next generation of business on complex infrastructure built for the demands of yesterday. Many traditional AI/ML systems, and the outcomes they produce, rely on data warehouses and batch processing.

Machine Learning 52

Machine Learning Data Warehouse Modeling Statistics 52

FineReport

MAY 31, 2023

Furthermore, we will introduce some business intelligence solution that excels in simplifying the process of creating and utilizing a financial dashboard effectively. Finance and accounting teams often deal with data residing in multiple systems, such as accounting software, ERP systems, spreadsheets, and data warehouses.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

CIO Business Intelligence

APRIL 9, 2025

For many, the level of sophistication can easily range from more sophisticated solutions like Power BI, Tableau, SAP Analytics or IBM Cognos to mid-tier solutions like Domo, Qlik or the tried and true elder statesman for all business analytics consumers, Excel. Data do not understand causes and effects; humans do.

Enterprise 102

Enterprise Analytics Experimentation Machine Learning 102

Occam's Razor

MARCH 23, 2010

A majority of web analytics data warehousing efforts fail. As of 2010 I still have a lot more years that I spend in the traditional data warehousing / business intelligence world than in web analytics. Yet no dw team is organized to execute on a daily schedule, you'll be lucky to get monthly. It will be humbling.

Analytics 119

Analytics Consulting Metrics Experimentation 119

Domino Data Lab

JULY 22, 2019

But the business logic kept getting more and more progressively rolled back into the middle layer, also called application servers, web servers, later being called middleware. Then in the bottom tier, you had your data management, your back office, right? The data governance, however, is still pretty much over on the data warehouse.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

FEBRUARY 4, 2019

In my experience, hyper-specialization tends to seep into larger organizations in a special way… If a company is say, more than 10 years old, they probably began analytics work with a business intelligence team using a data warehouse. So there are three unusual books suggested for your reading list.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Occam's Razor

FEBRUARY 7, 2011

please refer to the controlled experimentation section, page 205, in the book for more. See #1 in this post from 2006: Competitive Intelligence Analysis: Metrics, Tips & Best Practices. They have been extensively covered here and in both my books. Perhaps you already have a copy of my second book, just jump to Chapter 12.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

datapine

AUGUST 29, 2022

With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. Essential Big Data And Data Analytics Insights. Discover The Best Data Analytics And Big Data Books Of All Time.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

MARCH 24, 2025

Evaluating feedback from 3,433 users, this years report turned its focus toward business intelligence (BI) and analytics solutions that drive better decision-making for customers. Were dedicated to providing scale-out analytics and business intelligence to help our customers drive success. Still experiencing an issue?

Business Intelligence 52

Business Intelligence Analytics Dashboards Reporting 52

Jet Global

DECEMBER 7, 2021

As business analytics tools become more powerful and affordable than ever before, more and more business leaders are building upon their existing technology toolsets to add true business intelligence (BI) to their organization’s capabilities. These four stages are the “business intelligence cycle.”

Business Intelligence 52

Business Intelligence Slice and Dice Recreation/Entertainment Reporting 52

Jet Global

MAY 12, 2023

Δ The post Containerized Deployments for Business Intelligence appeared first on insightsoftware. Together, these approaches offer your customers the flexibility, resilience, and efficiency they need to succeed in today’s fast-paced digital landscape. Enable cookies. How insightsoftware is using cookies.

Business Intelligence 52

Business Intelligence Cost-Benefit Reporting Software 52

Jet Global

MARCH 25, 2024

The results are in – Logi Symphony by insightsoftware has been named as a top business intelligence (BI) solution in Info-Tech’s latest Data Quadrant Report. The report names the top seven BI providers for midmarket and enterprise businesses. score for its breadth of features.

Business Intelligence 52

Business Intelligence Predictive Analytics Reporting Enterprise 52