Smart Data Collective

MAY 25, 2023

Then adhere to data ethics. Data ethics involves the ethical handling of data, safeguarding privacy, and respecting the rights of individuals. In this article, we will explore its importance and discuss how organizations can uphold privacy and ensure that they work with data the right way.

Data Collection 84

Data Collection Measurement Data-driven Risk 84

datapine

APRIL 16, 2019

By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward. What Is Data Driven Decision Making? Quantitative data analysis focuses on numbers and statistics.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Rocket-Powered Data Science

MARCH 19, 2021

This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2 Embedding real-time dynamic analytics at the edge, at the point of data collection, or at the moment of need will dynamically (and positively) change the slope of your business or career trajectory.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. In 2012, the global mean temperature was measured at 58.2 degrees Fahrenheit.

Statistics 363

Statistics Advertising Visualization Data mining 363

CIO Business Intelligence

MAY 29, 2024

Document processing, querying data, and making recommendations are just a few business cases where AI can streamline operations, enhance decision-making, and drive competitive advantage. This article will unpack what technical foundations are needed to get started using AI and how trained AI is a competitive differentiator.

Sales 58

Sales Modeling Machine Learning Measurement 58

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. For a more in-depth review of scales of measurement, read our article on data analysis questions.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

JUNE 21, 2023

HR managers can use big data to identify and prepare for common health issues in their organizations. For instance, data may show that employees frequently get sick from November to January, prompting the hiring of temporary staff during that period. This metric is essential for assessing the efficiency of the recruitment process.

Data-driven 81

Data-driven Analytics Metrics Big Data 81

Smart Data Collective

OCTOBER 8, 2023

This article delves into the profound impact data analytics can have on fast food legal cases. Methodologies in Deploying Data Analytics The application of data analytics in fast food legal cases requires a thorough understanding of the methodologies involved. Data Collection The process begins with data collection.

Data Analytics 94

Data Analytics Analytics Statistics Data Collection 94

Rocket-Powered Data Science

JULY 21, 2023

Organizations are able to monitor integrity, quality drift, performance trends, real-time demand, SLA (service level agreement) compliance metrics, and anomalous behaviors (in devices, applications, and networks) to provide timely alerting, early warnings, and other confidence measures.

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190

Smart Data Collective

DECEMBER 17, 2021

The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Understanding your marketing data to make more informed and successful marketing strategy decisions is a systematic process. Types of Data Used in Marketing Analytics. Preparing the Data for Analysis.

Marketing Analytics 93

Marketing Analytics Marketing Data-driven Analytics 93

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

Management 363

Management Experimentation B2B Machine Learning 363

CIO Business Intelligence

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. According to Mohammed, the results of this digital transformation journey are measurable and impressive.

Digital Transformation 116

Digital Transformation Dashboards Reporting Data Science 116

Smart Data Collective

MAY 4, 2023

UMass Global has a very insightful article on the growing relevance of big data in business. Big data has been discussed by business leaders since the 1990s. However, the process of data gathering can be complex and challenging, especially when dealing with large volumes of information.

Data mining 78

Data mining Big Data Data-driven Measurement 78

CIO Business Intelligence

APRIL 14, 2022

This article was co-authored by Katherine Kennedy , an Associate at Metis Strategy. The ability to provide transparent, data-driven insights and measure progress toward ESG commitments makes the technology leader critical to the success of any ESG strategy. Smarter operations through integrated data and analytics.

Strategy 110

Strategy Digital Transformation IoT Measurement 110

datapine

MAY 2, 2023

The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

FineReport

JULY 4, 2023

In this article, we will explore the concept of KPI tracking, its definition, its importance for businesses, and how to perform KPI tracking. By regularly and automatically measuring KPIs, you can enhance productivity and reduce costs. Keeping a finger on the pulse of your organization’s performance is crucial.

KPI 52

KPI Key Performance Indicator Dashboards Sales 52

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. This will be elaborated on in the third part of this article. Why Big Data Analysis Report?

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Jet Global

JANUARY 8, 2021

An Operations Key Performance Indicator (KPI) or metric is a discrete measurement that a company uses to monitor and evaluate the efficiency of its day-to-day operations. Leading companies make use of KPIs and KPI dashboards to measure their efficiency in real time. What is an Operations KPI?

Metrics 131

Metrics Manufacturing Reporting KPI 131

Smart Data Collective

JULY 9, 2023

In the ever-evolving and increasingly competitive global e-commerce sector, businesses that strive to achieve and maintain high conversion rates face the pressing, yet necessary, task of harnessing the potential of accessible data. Take no risks when it comes to protecting data privacy!

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

BA Learnings

AUGUST 7, 2021

In this article, we’ll be discussing 3 reasons why most digital transformation initiatives continue to fail so you can be aware of the red flags, and avoid them altogether. However, after putting in place infrastructure for this database, you realize you need to improve your data collection methods. Let’s get started.

Digital Transformation 130

Digital Transformation Key Performance Indicator Cost-Benefit KPI 130

Smart Data Collective

FEBRUARY 24, 2022

The three biggest enemies to user onboarding are the lack of data analysis, data collection, and the wrong amount of information. Unfortunately, many businesses worldwide are not doing a good job collecting data and thus, fail to enhance customer relationships. Well, that’s about it for this article.

Data Analytics 109

Data Analytics Analytics Visualization Optimization 109

CIO Business Intelligence

OCTOBER 4, 2022

Many CIOs are now working with an IT environment that can deliver a modern data strategy but are struggling to unlock the full potential. The first step for CIOs is to break down internal barriers and address the problems caused by data siloed in legacy environments. Publishing and the TV industries have rich and valuable data sets.

Cost-Benefit 101

Cost-Benefit Strategy ROI Digital Transformation 101

datapine

JUNE 13, 2019

In this post, we will outline the definition and examples of Daily Sales Reports , followed by Weekly Sales Reports , and finishing with Monthly Sales Reports and templates you can use for your reporting practice (click on the link to jump directly to the relevant part of the article). Later in this article, you can see examples of each.

Sales 264

Sales Reporting KPI B2B 264

O'Reilly on Data

JUNE 16, 2020

Silver went on to write an article entitled “Coronavirus Case Counts Are Meaningless” with a subtitle “Unless you know something about testing. The first concept here is that, if your measurement device is broken, whether it be a ruler or a pandemic testing system, it’s not telling you anything of value about the real world.

Uncertainty 273

Uncertainty Testing Risk Reporting 273

Smart Data Collective

MARCH 23, 2022

Well, if you are someone who has loads of data and aren’t using it for your surveys and you would love to learn more on how to use it, don’t go anywhere because, in this article, we will show you data mining tips you can use to leverage your surveys. 5 data mining tips for leveraging your surveys.

Data mining 120

Data mining Marketing Insurance Data Collection 120

datapine

JULY 8, 2020

Such a real-time dashboard ensures productivity increment and centralized data collection that enables executives to overcome numerous operational challenges within their line of work. When you complete data management processes with an (automated) COO report and intelligent alarms, any business anomaly will not go unnoticed.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. See this article on data integration status for details.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

Cloudera

AUGUST 17, 2020

One of the primary sources of that knowledge comes from our Knowledge Articles. These Knowledge Articles have proven to be invaluable to our Support Staff over the years. To that end, we have been working on improving the way our customers discover the collection of knowledge available in our Knowledge Articles.

Testing 86

Testing Machine Learning Interactive Metrics 86

datapine

AUGUST 12, 2020

The examples of business reports that we used in this article can be utilized in many different industries, the data can be customized based on the factual information of the specific department, organization, company or enterprise. These reports also enable data collection by documenting the progress you make.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

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 Marketing 52

Rocket-Powered Data Science

JULY 7, 2019

Such approaches can enable more accurate and faster modeling and analysis of the characteristics and behaviors of a system and can exploit data in intelligent ways to convert them to new capabilities, including decision support systems with the accuracy of full scale modeling, efficient data collection, management, and data mining.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Jet Global

MAY 21, 2020

Beyond planning, more higher education institutions are measuring and communicating their financial health with KPIs. Updated reporting tools and automated data access can help you to measure progress on KPIs, such as: Excess of fund revenues over expenditure. Admissions and enrollment.

Finance 98

Finance KPI Forecasting Data-driven 98

O'Reilly on Data

NOVEMBER 13, 2018

Just the other day, I searched Google for recent news stories about AI, and I was surprised by the number of articles that touch on fairness. Classification parity means that one or more of the standard performance measures (e.g., How to build analytic products in an age when data privacy has become critical”.

Machine Learning 217

Machine Learning Risk Management Statistics 217

Smart Data Collective

SEPTEMBER 11, 2020

An article in CISCOMAG talks about the benefits of using AI in improving network security. The cost-saving measures of this trend are an added perk. Edge computing is a consumer-focused technology that is used to optimize data collection and processing. AI is especially important in shaping the future of networking.

Technology 97

Technology IoT Internet of Things Cost-Benefit 97

O'Reilly on Data

JANUARY 28, 2019

Almost everyone who reads this article has consented to some kind of medical procedure; did any of us have a real understanding of what the procedure was and what the risks were? The problems with consent to data collection are much deeper. Helen Nissenbaum, in an interview with Scott Berinato , articulates some of the problems.

Insurance 167

Insurance Metadata Data Collection Marketing 167

FineReport

JUNE 29, 2023

The Internet of Things (IoT) has revolutionized the way we interact with devices and gather data. In this article, we will explore the concept of IoT dashboards, delve into their benefits, examine real-life examples, and highlight the essential features that make them indispensable in the IoT landscape.

IoT 52

IoT Dashboards Visualization Cost-Benefit 52