IBM Big Data Hub

AUGUST 7, 2023

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. It explores the impact of different scenarios, evaluate trade-offs, and determine the optimal actions to be taken.

Optimization 58

Optimization Forecasting Data-driven Strategy 58

Smart Data Collective

NOVEMBER 14, 2019

In order for these operations to be profitable and sustainable, however, they require constant optimization. If you get the right data in hand, it becomes a lot easier to know which direction to take. Five KPIs and Metrics Worth Tracking. If you wait too long and have to go with a high percentage, you risk member anger.

Metrics 65

Metrics Key Performance Indicator Cost-Benefit Optimization 65

Smart Data Collective

NOVEMBER 1, 2023

This system enables you to automate employee hours recording and tracking, preventing manual timesheet use and reducing the risk of inaccuracies. Study employee performance metrics Performance metrics are a measure of how well team members are doing at their work. They reflect your business’s performance.

Metrics 89

Metrics Measurement Data-driven Optimization 89

IBM Big Data Hub

FEBRUARY 7, 2024

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

Reporting 97

Reporting Cost-Benefit Internet of Things Data-driven 97

IBM Big Data Hub

AUGUST 3, 2023

This means companies especially need their software applications to perform optimally because they are often a source of competitive advantage. Organizations cannot risk unnecessary unplanned downtime or increased latencies because an application failed or underperformed. What is application health monitoring?

Measurement 66

Measurement Metrics Risk Software 66

FineReport

JUNE 7, 2023

To promote cohesion, collaboration, intelligence, and profitability within your company’s strategic activities, whether large or small, adopting an online data visualization approach is paramount. Timely Risk Identification and Mitigation: Project management dashboards facilitate the identification and management of project risks.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

DataRobot

OCTOBER 20, 2021

Because of the multidisciplinary nature of AI products, stakeholders across an entire organization must share a common understanding of each project’s scope, deployment, governance , impact, and projected risk. Achieving that level of governance at scale requires a common understanding of AI and data concepts. WHITE PAPER.

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. If you can’t walk, you’re unlikely to run.

Management 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. AI can help marketers create and optimize content to meet the new standards. What is AI marketing?

Marketing 84

Marketing Technology Advertising ROI 84

CDW Research Hub

DECEMBER 22, 2020

Upon hearing the news, Sirius Executive Vice President of Managed Services and Cloud, Michael Conley remarked, “Our ability to optimize and accelerate the journey to the cloud is what makes us unique, and it is a great honor to be recognized as the leader of the NextGen 101 rankings. Data was collected in 2020.

Management 97

Management Optimization Metrics Data Collection 97

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Organizations using C360 achieved 43.9% reduction in sales cycle duration, 22.8%

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Ontotext

AUGUST 12, 2021

The hospital (and many other Healthcare institutions like it) keeps the data in various systems where each serves the specific needs of a different department and there is no unified access or identification of individuals between databases. Custom metrics are no different.

Metrics 98

Metrics Visualization Reporting Data Collection 98

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 117

Cost-Benefit Internet of Things Data-driven Data Lake 117

CIO Business Intelligence

NOVEMBER 22, 2022

The next step in every organization’s data strategy, Guan says, should be investing in and leveraging artificial intelligence and machine learning to unlock more value out of their data. A key data observability attribute is that it acts on metadata, providing a safe way to monitor data directly within applications.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Jet Global

DECEMBER 23, 2019

However, companies that want to transform their data into insights often find it difficult to isolate the entire process inside the ERP. For example, NetSuite makes it possible to generate reports on enterprise performance, but it doesn’t necessarily optimize the reporting process. Spreadsheet Server does.

Reporting 64

Reporting Data Collection Operational Reporting Optimization 64

FineReport

MAY 31, 2023

Contemporary dashboards surpass basic visualization and reporting by utilizing financial analytics to amalgamate diverse financial and accounting data, empowering analysts to delve further into the data and uncover valuable insights that can optimize cost-efficiency and enhance profitability.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

CIO Business Intelligence

FEBRUARY 13, 2023

Measure performance of the current process by establishing a data collection plan to determine defects and gather metrics. It’s important to consider performance, cost, implementation demands, and risks or disruptions that may arise.

Management 83

Management Statistics Manufacturing Measurement 83

Jet Global

JANUARY 22, 2020

Much of the financial reporting process, including data collection, integration, analysis, and visualization, can now run on autopilot. Contending with Data Errors. Any reporting process that relies on users manually manipulating data is at risk of typos and other human errors compromising that data.

Reporting 78

Reporting Snapshot Data-driven Uncertainty 78

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., The data collection process should be tailored to the specific objectives of the analysis.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

AWS Big Data

MAY 16, 2023

In this first post of the series, we show you how data collected from smart sensors is used for building automated dashboards using QuickSight to help distribution network engineers manage, maintain and troubleshoot smart sensors and perform advanced analytics to support business decision making.

Dashboards 74

Dashboards Statistics Data Collection Business Intelligence 74

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. In banks, this means: Setting data format standards. Tagging data types. Incorporating automation.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

IBM Big Data Hub

AUGUST 11, 2023

Each data attribute, or feature, is managed within a feature store and can be added, deleted, combined or adjusted to improve the machine learning model. Creating an MLOps process builds in oversight and data validation to provide good governance, accountability and accuracy of data collection. MLOps and IBM Watsonx.ai

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. For this demo we’ll use the freely available Statlog (German Credit Data) Data Set, which can be downloaded from Kaggle. 1 570 0 570 Name: credit, dtype: int64.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. . – back to the structure of the dataset. Let’s look through some antidotes. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation. And for good reason!

Experimentation 61

Experimentation Testing Statistics Metrics 61

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. Additionally, scalability of the dimensional model is complex and poses a high risk of data integrity issues.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

Domino Data Lab

MARCH 3, 2019

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. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. What metrics are used to evaluate success?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

JUNE 23, 2019

Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. There is only one simple message above, and just two metrics that matter. It also forces a lot less think than might be optimal.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Ontotext

APRIL 4, 2019

They have different metrics for judging whether some content is interesting or not. This is a knowledge that anyone can get, but it would take much longer than optimal. But still, is there a risk that AI could replace people at their workplace? Milena Yankova : That’s a very interesting question. Bulgaria’s Place in the AI Race.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

IBM Big Data Hub

MARCH 26, 2024

Our clients are improving their ability to measure and track progress against ESG metrics, while concurrently operationalizing sustainability transformation. Data not only provides the quantitative requirements for ESG metrics, but it also provides the visibility to manage the performance of those metrics.

Measurement 66

Measurement Metrics Strategy Reporting 66

IBM Big Data Hub

AUGUST 11, 2023

MES systems can assist managers with process management and process control, helping to facilitate optimal performance of manufacturing. By facilitating optimized production planning and scheduling, these systems ensure efficient resource allocation, workload balancing and on-time deliveries, leading to improved profitability.

Software 72

Software Manufacturing Cost-Benefit ROI 72

IBM Big Data Hub

SEPTEMBER 11, 2023

A pain point tracker (a repository of business, human-centered design and technology issues that inhibit users’ ability to execute critical tasks) captures themes that arise during the data collection process. The pain point tracker clusters the foundational data in which value metrics are then applied.

Data-driven 90

Data-driven IT Measurement Cost-Benefit 90

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

CIO Business Intelligence

AUGUST 15, 2023

A risk-limiting audit (RLA) is one audit type used for election verification. And it yields multiple business metric improvements, such as limiting surplus inventory. To build the BHAR model, the Novant Health team used historical data from its electronic health records (EHR) system as well as data from external sources.

IT 97

IT Manufacturing IoT Cost-Benefit 97