Jet Global

MAY 8, 2024

The Dresner Customer Experience Model maps metrics like the sales and acquisition process, technical support, and consulting services, against general customer sentiment. The most popular BI initiatives were data security, data quality, and reporting.

Business Intelligence 52

Business Intelligence Reporting Measurement Software 52

datapine

SEPTEMBER 27, 2022

Our next book is dedicated to anyone who wants to start a career as a data scientist and is looking to get all the knowledge and skills in a way that is accessible and well-structured. Originally published in 2018, the book has a second edition that was released in January of 2022. 4) “SQL Performance Explained” by Markus Winand.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

AUGUST 14, 2023

This is due to a common misconception about data mesh as a data strategy, which is that it is effectively self-organizing—meaning that once presented with the opportunity, data owners within the organization will spring to the responsibilities and obligations associated with publishing high-quality data products.

Management 81

Management Risk Measurement Optimization 81

Octopai

APRIL 19, 2021

Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. TDAN stands for The Data Administration Newsletter. It is published by Robert S.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

IBM Big Data Hub

SEPTEMBER 15, 2023

These disclosures will need to be filed as part of the company annual 10-K statements, potentially as soon as the 2024 fiscal year if the final ruling is published by October 2023 as currently expected. For example, the regulated disclosures could be anything from estimates around Scope 3 emissions, to investor-grade data.

Risk 75

Risk Reporting Data-driven Publishing 75

Jim Harris

JULY 13, 2015

Background: “Apathy is the enemy of data quality”. I began work on data quality in the late 1980s at the great Bell Laboratories. This led me to conclude, by about 2000, that apathy was the number one enemy of data quality. I especially wanted to identify industries that were ripe for data quality.

Data Quality 56

Data Quality Data-driven Big Data Consulting 56

Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. I worked with financial analysts, data analysts, and business users.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Depict Data Studio

MAY 12, 2020

Now I think it’s really exciting because there are a lot of paths into data viz,” Amanda told me. Amanda is currently the Data Visualization Capability Lead at Excella , a technology consulting firm. COVID-19 Data Quality Issues. She works with organizations from the CDC to Fortune 500 companies.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

Occam's Razor

DECEMBER 12, 2016

My answer was: " Look for these two elements, if they are present then it is worth helping the company with free consulting and analysis. If they are not, no matter how much money or how many Analysts they have, helping them is a waste of time because nothing will live after your consulting is done." All that is great.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Howard Dresner

JANUARY 20, 2014

A great place for an insightful, real-world view of BI trends is my weekly #BIWisdom tweetchats with BI customers, vendors and consultants. Another tweeted, “Through the use of location analytics organization can see new patterns in their data that graphs and charts don’t reveal.” These folks are not punching above their weight.

Business Intelligence 56

Business Intelligence Software Data Processing Marketing 56

Smarten

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Analytics 40

Analytics IT Statistics ROI 40

Jet Global

NOVEMBER 7, 2023

Security and compliance demands: Maintaining robust data security, encryption, and adherence to complex regulations like GDPR poses challenges in hybrid ERP environments, necessitating meticulous compliance practices.

Reporting 52

Reporting Finance Operational Reporting Management 52

Howard Dresner

MAY 30, 2014

The dilemma requires some business intelligence wisdom, so I tossed the question out to the BI users, vendors and consultants in one of my Friday #BIWisdom tweetchats after a participant tweeted that he had observed a “quantum shift” to self-service in BI delivery this year. After all, bad data leads to bad decisions.

Business Intelligence 40

Business Intelligence Executive BI Data Quality Data Processing 40

Jet Global

DECEMBER 3, 2021

Transformational leaders represent a compelling example for the value of investing in data quality, automation, and specialised reporting software. They seek to automate data capture and maintain good control over different data sources and mapping tables. Transformation Leaders Work Differently.

Reporting 52

Reporting Recreation/Entertainment Finance Software 52

Jet Global

AUGUST 24, 2023

You’ll learn how to: Simplify and accelerate data access and data validation with the ability to perform side-by-side comparisons of data from on-premises and Cloud ERP. Quickly and easily identify data quality or compatibility issues prior to migration for successful data cleanup and configuration.

Finance 52

Finance Reporting Data Integration Risk 52

datapine

AUGUST 29, 2022

Due to this book being published recently, there are not any written reviews available. 4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. 17) Analytics in a Big Data World: The Essential Guide to Data Science and its Applications, by Bart Baesens.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Andrew White

JANUARY 11, 2021

This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. As with any good consulting response, “it depends.” Do you recommend a consulting approach strategy rather than a CDO strategy?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Andrew White

JANUARY 9, 2022

I try to relate as much published research as I can in the time available to draft a response. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

MARCH 3, 2019

This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees. We had big surprises at several turns and have subsequently published a series of reports. Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI (Jan 2019).

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

JULY 22, 2019

One is data quality, cleaning up data, the lack of labelled data. Another one is that, to Nick’s point, in his keynote yesterday, was excellent about using experts, internal data science teams. The ones that don’t fare well tend to rely on external consultants. You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109