datapine

JANUARY 31, 2022

Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses. Renowned author Bernard Marr wrote an insightful article about Shell’s journey to become a fully data-driven company. Let’s look at our first use case.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Cloudera

AUGUST 30, 2022

But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. . Towards Data Science ).

Data Architecture 79

Data Architecture Data Lake Data Warehouse Metadata 79

Alation

JULY 15, 2022

In the Cambridge Analytica case, the company went from a data strategy focused on monetisation by increased revenue to company closure due to the reputational damage from the negative media and public response. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

Alation

MARCH 5, 2021

Though data governance has different names and may be described in many ways, this is what we’ll be focusing on in this article: Why is Data Governance Important? Data Governance Roles. 3 Major Forms of Data Governance. Democratizing Data. How Alation Activates Data Governance. Data Governance Roles.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

Sisense

OCTOBER 15, 2020

Every data professional knows that ensuring data quality is vital to producing usable query results. Streaming data can be extra challenging in this regard, as it tends to be “dirty,” with new fields that are added without warning and frequent mistakes in the data collection process.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

CIO Business Intelligence

DECEMBER 10, 2024

Ill have to work, above all, on monitoring data traffic and protecting communications, while isolating some data and regulation of access, he says. From cloud to privacy: the laws highlights There are some particular articles of the Data Act that would pique the interest of the CIO.

Manufacturing 78

Manufacturing Data-driven Data Governance Marketing 78

Alation

JULY 6, 2021

But first, they need to understand the top challenges to data governance, unique to their organization. Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. Why Do Data Silos Happen?

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Jet Global

AUGUST 23, 2021

Manage data from diverse systems. Data quality is a central point for producing quality reports that can be used effectively in decision-making. Besides simply presenting data, the audience must understand what the figures mean and see the trends. Improve collaborative measures.

Finance 52

Finance Data Collection Reporting Data Quality 52

Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. This article will focus on how data engineers can improve their approach to data governance.

Data Governance 52

Data Governance Strategy Data Quality Data Collection 52

Domino Data Lab

JUNE 23, 2019

But the reality is, if you give something, an arbitrary news article and ask it to do a generative summary, what comes out is often not factually correct and sometimes it’s not even sensible. The biggest time sink is often around data collection, labeling and cleaning. That’s a good article by Steven Levy about this.

Management 110

Management Machine Learning Experimentation Metrics 110

TDAN

DECEMBER 15, 2020

It’s reasonable today to say that a business doesn’t have much of a chance at success without a strong data operation. On the other hand, however, it’s a mistake to assume that this means every business needs to spend heavily on advanced technology relating to data collection. Rather, it comes down to good management.

Management 52

Management Data Collection Technology Data Quality 52

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

FineReport

MARCH 24, 2024

Given the critical role they play, employers actively seek data analysts to enhance efficiency and stimulate growth. This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience.

Statistics 52

Statistics Data mining Visualization Reporting 52

TDAN

FEBRUARY 2, 2021

Quality Managers have a problem. The success of their quality program hinges on one thing. The one thing a quality manager needs most is leadership buy-in. Quality programs fail because they did not have support from the top. It’s not KPIs and it’s not methodology. So how […].

Management 91

Management KPI Data Quality IT 91

Domino Data Lab

MARCH 3, 2019

Seriously, this entire article merely skims the surface of those reports. Check the end of this article for key guidance synthesized from the practices of the leaders in the field. Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? The development phases for an AI project map nearly 1:1 to the AI Product Pipeline we described in the second article of this series. The final article in this series will be devoted to debugging.). Identifying the problem.

Marketing 364

Marketing Experimentation Metrics Testing 364

O'Reilly on Data

OCTOBER 22, 2020

We then each chose our top three questions, which we’ve detailed in this article. The safest course of action is also the slowest and most expensive: obtain your training data as part of a collection strategy that includes efforts to obtain the correct representative sample under an explicit license for use as training data.

Consulting 363

Consulting Risk Cost-Benefit Modeling 363

Domino Data Lab

FEBRUARY 4, 2019

For a sample of some of Dr. Kahneman’s recent work, check out this Harvard Business Review (HBR) article, “ Noise: How to Overcome the High, Hidden Cost of Inconsistent Decision Making.” Data science tinkering is typically accompanied by evidence for the merits of the exploration. Articulating process for data science.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Occam's Razor

APRIL 21, 2014

The mistake we make is that we obsess about every big, small and insignificant analytics implementation challenge and try to fix it because we want 99.95% comfort with data quality. We wonder why data people are not loved. :). And please see the Unmissable Articles listed on the bottom right of this post. Six years go by.

Marketing Analytics 132

Marketing Analytics Marketing Analytics Metrics 132

Depict Data Studio

MAY 12, 2020

She wrote “ Ten Considerations Before You Create Another Chart About COVID-19 ” on the Data Visualization Society’s blog in March 2020, and I also wanted to know whether her guidance had evolved or shifted since writing the article. COVID-19 Data Quality Issues. Understanding COVID-19 Data Collection.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

Domino Data Lab

JULY 22, 2019

Greg Linden ‘s article about splitting the website on Amazon. My colleague, Ben Lorica at O’Reilly, he and I did three large surveys about adoption for ABC, that’s AI, Big Data, and Cloud in enterprise. We have an article on this on Domino. One is data quality, cleaning up data, the lack of labelled data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

The Unofficial Google Data Science Blog

JULY 18, 2023

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. Both published articles in the same volume of the British Journal of Psychology.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52