Analytics Vidhya

OCTOBER 14, 2022

This article was published as a part of the Data Science Blogathon. Businesses can adopt the cloud computing paradigm, where they can rent IT equipment and services instead of purchasing and operating their data centers. The post What is Cloud Analytics and Its Importance? appeared first on Analytics Vidhya.

Analytics 382

Analytics IT Data Science Publishing 382

David Menninger's Analyst Perspectives

APRIL 9, 2024

Data and analytics have become increasingly important to all aspects of business. The modern data and analytics stack includes many components, which creates challenges for enterprises and software providers alike. As my colleague Matt Aslett points out , a better term might be modern data and analytics smorgasbord.

Analytics 130

Analytics Software Enterprise Technology 130

Analytics Vidhya

SEPTEMBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Big data is now an unreplaceable part of tech giants and businesses. Business applications range from customer fraud detection to personalization with extensive data analytics dashboards. They also lead to more efficient operations.

Big Data 297

Big Data Data Analytics Analytics Dashboards 297

Smart Data Collective

AUGUST 9, 2023

Organizations that use data analysis to improve their profitability can use the following techniques to streamline their operations and reorient their business workflows. This data is also a perfect way to figure out whether a particular type of customer would respond to being upsold on any additional products or services.

Data Analytics 87

Data Analytics Analytics Sales Interactive 87

Analytics Vidhya

MAY 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Sets are an example of the essence data structures of Python. The post Python Sets : 5 Operations Every Data Scientist Must-Know appeared first on Analytics Vidhya.

Data Science 186

Data Science Publishing Analytics 186

Analytics Vidhya

DECEMBER 12, 2022

Data science is one of India’s rapidly growing and in-demand industries, with far-reaching applications in almost every domain. Not just the leading technology giants in India but medium and small-scale companies are also betting on data science to revolutionize how business operations are performed.

Analytics 319

Analytics Data Science Technology Deep Learning 319

Analytics Vidhya

DECEMBER 28, 2022

Introduction Though machine learning isn’t a relatively new concept, organizations are increasingly switching to big data and ML models to unleash hidden insights from data, scale their operations better, and predict and confront any underlying business challenges.

Machine Learning 290

Machine Learning Analytics Big Data Modeling 290

AWS Big Data

AUGUST 16, 2023

Automated Data Analytics (ADA) on AWS is an AWS solution that enables you to derive meaningful insights from data in a matter of minutes through a simple and intuitive user interface. ADA offers an AWS-native data analytics platform that is ready to use out of the box by data analysts for a variety of use cases.

Data Analytics 72

Data Analytics Analytics Visualization Software 72

CIO Business Intelligence

MAY 5, 2022

The boom in data science continues unabated. The work of gathering and analyzing data was once just for a few scientists back in the lab. Now every enterprise wants to use the power of data science to streamline their organizations and make customers happy. The world of data science tools is growing to support this demand.

Data Science 129

Data Science Analytics Machine Learning Optimization 129

David Menninger's Analyst Perspectives

MARCH 23, 2022

In this perspective, we will look at some of the data from our Analytics and Data Benchmark Research about the roles of IT and line-of-business teams in analytics and data processes. We will also look at some of the disconnects between these two groups.

Analytics 282

Analytics IT Data Processing Business Intelligence 282

DataKitchen

JANUARY 2, 2021

Figure 1: Operational AI Requires ModelOps, DataOps, and DevOps Practices. DataOps provides “ the foundational data operations for operationalizing AI models. DataOps provides “ the foundational data operations for operationalizing AI models. Data-AI Role Alignment. White Paper: Governance as Code.

Testing 130

Testing Machine Learning Reporting Modeling 130

David Menninger's Analyst Perspectives

JULY 7, 2022

Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights. With a unified BI system, organizations can have a comprehensive view of all organizational data to better manage processes and identify opportunities.

Analytics 291

Analytics Business Intelligence Marketing Management 291

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

David Menninger's Analyst Perspectives

NOVEMBER 16, 2022

I suggest we also need to mind the gap between data and analytics. If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gap” between the trains and the platform.

Analytics 334

Analytics IT Data Governance Business Intelligence 334

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

Smart Data Collective

MARCH 7, 2024

Analytics and reporting have become indispensable in the rapidly evolving healthcare landscape, driving transformation across patient care, operational efficiency, and strategic decision-making.

Reporting 107

Reporting Analytics Data-driven 107

Jet Global

MARCH 20, 2023

Recognizing a need for better operational analytics, insightsoftware leveraged award-winning technology from Logi Analytics to provide Oracle ERP Cloud users the ability to customize, create, and share interactive dashboards and reports across all departments of a business.

Operational Reporting 52

Operational Reporting Reporting Uncertainty Finance 52

Cloudera

MAY 9, 2024

The Gartner Data and Analytics Summit in London is quickly approaching on May 13 th to 15 th , and the Cloudera team is ready to hit the show floor! With the rapid pace of AI innovations, today’s leaders must connect, share, and learn from each other on how to best leverage AI technology to effectively analyze data to our advantage.

Analytics 87

Analytics Enterprise Data-driven Marketing 87

AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network).

Dashboards 74

Dashboards Statistics Data Collection Business Intelligence 74

CIO Business Intelligence

MARCH 9, 2022

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a data lake. A change was needed. Talal Mufti.

Data Science 93

Data Science Data Lake Cost-Benefit Digital Transformation 93

Teradata

JUNE 2, 2022

Learn how data and analytics can enable airlines to navigate towards more streamlined operations. Read more.

Analytics 98

Analytics 98

Analytics Vidhya

MAY 5, 2024

It offers 30 tips and tricks to enhance coding skills, covering foundational matrix operations and advanced statistical analysis techniques. Practical examples accompany each tip, allowing users to navigate complex data manipulations and scientific computations.

Statistics 297

Statistics Analytics IT 297

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

Cloudera

APRIL 18, 2024

All of that technology, though, depends on data to be successful. In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular.

Analytics 110

Analytics Metadata Data Strategy Optimization 110

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Analytics Vidhya

MARCH 31, 2024

In simple words, MLOps (Machine Learning Operations) is a set of practices for collaboration and communication between data scientists and operations professionals.

Sales 284

Sales Machine Learning Management Analytics 284

AWS Big Data

JANUARY 30, 2023

Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. The Delta Lake layer ensures ACID compliance of the source data.

Insurance 75

Insurance Data Lake Data-driven Management 75

Smart Data Collective

NOVEMBER 20, 2022

Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.

Manufacturing 134

Manufacturing Marketing Data Analytics Analytics 134

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. We think of this concept as inside-out data movement. Example Corp.

Data Lake 109

Data Lake Analytics Dashboards Metrics 109

AWS Big Data

OCTOBER 25, 2023

As the scale and complexity of microservices and distributed applications continues to expand, customers are seeking guidance for building cost-efficient infrastructure supporting operational analytics use cases. Operational analytics is a popular use case with Amazon OpenSearch Service.

Analytics 117

Analytics Data Processing Optimization Metrics 117

Smart Data Collective

OCTOBER 6, 2023

Data analytics technology has helped retail companies optimize their business models in a number of ways. One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. There are a number of huge benefits of using data analytics to identify seasonal trends.

Management 118

Management Analytics Predictive Analytics Cost-Benefit 118

AWS Big Data

MARCH 26, 2024

We are delighted to announce the release of the Data Analytics Lens. Using the Lens in the Tool’s Lens Catalog, you can directly assess your Analytics workload in the console, and produce a set of actionable results for customized improvement plans recommended by the Tool. What’s new in the Data Analytics Lens?

Data Analytics 55

Data Analytics Analytics Big Data Data Lake 55

AWS Big Data

MARCH 18, 2024

Many organizations operate data lakes spanning multiple cloud data stores. In these cases, you may want an integrated query layer to seamlessly run analytical queries across these diverse cloud stores and streamline your data analytics processes.

Data Lake 97

Data Lake Analytics Cost-Benefit Management 97