erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data.

Data-driven 77

Data-driven Analytics Insurance Digital Transformation 77

Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction With technological evolution, data dependence is increasing much faster. Organizations are now employing data-driven approaches all over the world. One of the most widely used data applications […].

Predictive Analytics 284

Predictive Analytics Analytics Data-driven Data Science 284

Smart Data Collective

JULY 21, 2022

Data analytics is incredibly valuable for helping people. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. We have previously talked about the many ways that big data is disrupting education.

Data-driven 134

Data-driven Big Data Cost-Benefit Data Analytics 134

CIO Business Intelligence

MAY 17, 2023

The big picture : In the midst of a rush to technology modernization, it’s critical to ensure the organization’s data assets are not overlooked. Why it matters:  Data-driven business decisions must factor prominently in modernization efforts. The bottom line:  Don’t leave data behind.

Data-driven 110

Data-driven Strategy IT Insurance 110

David Menninger's Analyst Perspectives

MAY 17, 2023

First, the amount of data they can collect and store has increased dramatically while the cost of analyzing these large amounts of data has decreased dramatically. Data-driven organizations need to process data in real time which requires AI. Several factors have contributed to this evolution.

Modeling 144

Modeling Experimentation Data-driven Business Intelligence 144

Smart Data Collective

OCTOBER 19, 2023

Many businesses use big data technology to bolster efficiency. of companies say that they use data analytics in some capacity. While only 24% call themselves data-driven, the figure is growing significantly. Big data is changing the business models of many organizations.

Consulting 105

Consulting Data-driven IT Digital Transformation 105

Smart Data Collective

FEBRUARY 22, 2022

Big data has been changing the state of business for years. More companies than ever are shifting towards digital business models. They are finding new ways to leverage data analytics and AI technology to maximize their ROI. Fortunately, new e-commerce companies are in a good position to benefit from data.

Data-driven 129

Data-driven Metrics Sales Big Data 129

Smart Data Collective

JANUARY 11, 2023

Many businesses are taking advantage of big data to improve their marketing and financial management practices. billion on big data marketing in 2020 and this figure is likely to grow further in the years to come. Some of the case studies on the benefits of data-driven marketing are quite promising.

Data-driven 98

Data-driven Marketing Advertising Big Data 98

Juice Analytics

FEBRUARY 10, 2020

Of these pillars, perhaps the most foundational and critical is the data culture. Research suggests that many organizations struggle to create this data culture and a healthy data culture is tied to overall performance. What does the data say? Another survey from NewVantage Partners underscores this point: Only 7.5%

Data-driven 135

Data-driven Metrics Dashboards Data Science 135

Smart Data Collective

DECEMBER 17, 2021

Introduction: What is Marketing Analytics and How Does it Help Marketers? Marketing Analytics is the process of analyzing marketing data to determine the effectiveness of different marketing activities. The process of Marketing Analytics consists of data collection, data analysis, and action plan development.

Marketing Analytics 93

Marketing Analytics Marketing Data-driven Analytics 93

Dataiku

MARCH 26, 2024

In today's data-driven landscape, businesses are increasingly relying on AI and machine learning (ML) to gain insights, make predictions, and automate processes. to understand the nuances behind model optimization, particularly the concept of fine-tuning.

Modeling 75

Modeling Machine Learning Data-driven Optimization 75

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. Well, that statement was made five years ago!

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Analytics Vidhya

JANUARY 20, 2023

Introduction Machine learning has become an essential tool for organizations of all sizes to gain insights and make data-driven decisions. However, the success of ML projects is heavily dependent on the quality of data used to train models. Poor data quality can lead to inaccurate predictions and poor model performance.

Data Quality 397

Data Quality Machine Learning Data-driven Modeling 397

Smart Data Collective

JULY 20, 2022

Data-driven decision-making has become a major element of modern business. A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Furthermore, only 13% of companies are actually delivering on their data strategy.

Data-driven 123

Data-driven Optimization Big Data Data Strategy 123

Smart Data Collective

DECEMBER 13, 2021

Big data has become a highly invaluable aspect of modern business. More companies are using sophisticated data analytics and AI tools to overhaul their business models. Some industries have become more dependent on big data than others. New advances in data technology have been especially beneficial for marketing.

Data-driven 135

Data-driven Marketing Strategy Big Data 135

Smart Data Collective

AUGUST 31, 2020

Big data is the lifeblood of modern app development. App developers should also use data analytics to maximize their monetization opportunities. They are embracing new big data initiatives to find the best opportunities. They are embracing new big data initiatives to find the best opportunities.

Data-driven 102

Data-driven Modeling Advertising Big Data 102

AWS Big Data

APRIL 17, 2024

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. times better price-performance than other cloud data warehouses.

Data Warehouse 95

Data Warehouse Analytics Cost-Benefit Modeling 95

Smart Data Collective

JULY 28, 2021

The supply-chain analytics market is projected to be worth over $16.8 This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation.

Data-driven 133

Data-driven Big Data Manufacturing ROI 133

Cloudera

APRIL 18, 2024

With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner. All of that technology, though, depends on data to be successful.

Analytics 105

Analytics Metadata Data Strategy Optimization 105

Analytics Vidhya

JUNE 17, 2023

Data science is a game-changer for marketing professionals in today’s digital age. With vast amounts of data available, marketers now have the power to unlock valuable insights and make data-driven decisions that drive business growth. appeared first on Analytics Vidhya.

Data Science 315

Data Science Marketing Predictive Modeling Statistics 315

Analytics Vidhya

SEPTEMBER 11, 2023

RLHF for high performance focuses on understanding human behavior, cognition, context, knowledge, and interaction by leveraging computational models and data-driven approaches […] The post RLHF For High-Performance Decision-Making: Strategies and Optimization appeared first on Analytics Vidhya.

Optimization 342

Optimization Strategy Data-driven Interactive 342

Decision Management Solutions

JANUARY 5, 2021

Bart de Langhe and Stefano Puntoni recently published a great article in the MIT Sloan Management Review called “Leading With Decision-Driven Data Analytics” In contrast to so much of the literature that focuses first on data, they focus on decision-making. This has been our experience also.

Data-driven 40

Data-driven Data Analytics Analytics Modeling 40

Analytics Vidhya

APRIL 28, 2023

Introduction Welcome to the revolutionary DataHour sessions, where you can elevate your understanding of data-driven technologies, including Data Science, to the next level. Bid farewell to tedious sessions which put you to sleep as we introduce a refreshing approach to learning.

Machine Learning 295

Machine Learning Data-driven Data Science Modeling 295

Smart Data Collective

AUGUST 17, 2021

Big data has been a very important part of modern human resource solutions. One of the biggest implications of big data in human resources has pertained to enterprise workflow management. Data analytics technology can help bolster efficiency in all of these regards. Using Data Analytics to Improve Workflow Management.

Data-driven 119

Data-driven Optimization Enterprise Cost-Benefit 119

Smart Data Collective

AUGUST 22, 2021

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. Big data has been instrumental in the software development process. The FDA has used data analytics technology to streamline their process and drastically reduce the risk of missing anything pertinent.

Data-driven 129

Data-driven Software Manufacturing Big Data 129

Analytics Vidhya

JUNE 7, 2023

However, a new data-driven machine learning model developed […] The post From Trial and Error to Precision: AI’s Answer to Hypertension Treatment appeared first on Analytics Vidhya.

Machine Learning 283

Machine Learning Data-driven Modeling Analytics 283

CIO Business Intelligence

AUGUST 30, 2022

But although their role has evolved, the technology which helps them is still playing catch-up, with the lack of reliable analytics and data one of the biggest hurdles to progress. A changing role and the need for data. This level of data collection and insight requires the right technology. Data that tells ‘one truth’.

Data-driven 98

Data-driven Finance Digital Transformation Operational Reporting 98

Smart Data Collective

SEPTEMBER 21, 2021

Retailers around the world are discovering that big data can be incredibly valuable to their bottom lines. A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. Targeting the Right Variables for Your Data-Driven Retail Business Model.

Data-driven 107

Data-driven Metrics Sales Big Data 107

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Unleashing the Power of Data Connections Zenia Graph isn’t just another data solution company.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

Analytics Vidhya

NOVEMBER 7, 2022

This article was published as a part of the Data Science Blogathon. It is a data-driven approach to learning that can automatically extract features from data and build models to make predictions. The post Advance Guide on Interview Questions of Deep Learning appeared first on Analytics Vidhya.

Deep Learning 379

Deep Learning Machine Learning Data-driven Data Science 379

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

DataKitchen

JANUARY 3, 2022

Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. In business analytics, fire-fighting and stress are common. Analytics Hub and Spoke.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Analytics 118

Analytics Broadcasting Predictive Analytics Metrics 118