Analytics Vidhya

NOVEMBER 3, 2020

This article was published as a part of the Data Science Blogathon. Introduction In today’s data-driven age, cloud platforms have been a boon in. The post Basic Introduction to Google BigQuery and Data Studio Every Data Scientist Should Know! appeared first on Analytics Vidhya.

Data-driven 319

Data-driven Data Science Publishing Analytics 319

Analytics Vidhya

JUNE 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Data-Driven decision-making has large involvement of Machine Learning Algorithms. The post Tune Hyperparameters with GridSearchCV appeared first on Analytics Vidhya.

Machine Learning 317

Machine Learning Data-driven Data Science Publishing 317

Smart Data Collective

APRIL 20, 2020

Big data is changing a number of variables for businesses. One of the biggest changes big data has created pertains to invoicing. The Enterprise Project recently talked about three big data case studies. One of these case studies centered around using big data to improve the state of invoicing. Quickbooks Payments.

Data-driven 93

Data-driven Software Big Data Structured Data 93

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly data driven.

IoT 107

IoT Machine Learning Metadata Data-driven 107

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

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake 89

Data Lake Data Warehouse Data-driven Optimization 89

Andrew White

MAY 28, 2020

A perfect article landed in my lap Saturday morning that highlighted the fallacy so many people make in the belief of being data-driven. and their assumptions would be laid out in front of me: Get the best tool, the cleanest data, the best analytic, the right visualization, and the right decision will be taken.

Data-driven 69

Data-driven Big Data Structured Data Visualization 69

CIO Business Intelligence

JUNE 13, 2024

What is a data analyst? Data analysts work with data to help their organizations make better business decisions. Using techniques from a range of disciplines, including computer programming, mathematics, and statistics, data analysts draw conclusions from data to describe, predict, and improve business performance.

Data-driven 98

Data-driven Statistics Business Intelligence Reporting 98

O'Reilly on Data

APRIL 19, 2021

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. The second-most significant barrier was the availability of quality data. Relatively few respondents are using version control for data and models. Respondents.

Enterprise 364

Enterprise Risk Modeling Manufacturing 364

datapine

MAY 27, 2020

In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights. No more sifting through droves of spreadsheets, no more patchwork data analysis, and reporting methods.

Reporting 245

Reporting Analytics Dashboards Sales 245

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

OCTOBER 19, 2023

million terabytes of data will be generated by humans over the web and across devices. That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. As well as why data in silos is a threat that demands a separate discussion.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

Jet Global

FEBRUARY 18, 2020

Gary Melling is the President and CEO of Acquired Insights, a firm that designs customized AI applications and tech-driven strategic initiatives. We hear about companies becoming “data-driven.” What’s distinct about working with digital data compared to the insights of the past? How can they leverage their data?

Data-driven 64

Data-driven Machine Learning Cost-Benefit ROI 64

CDW Research Hub

APRIL 28, 2020

As businesses strive to become modern data-driven organizations, many are drawn to the value that a data platform in the cloud can provide. Cloud data platforms provide the speed, performance and scalability that is required to handle an exponential growth in volume of data.

Data-driven 52

Data-driven Analytics Consulting ROI 52

CIO Business Intelligence

OCTOBER 25, 2023

Our recent data analysis of AI/ML trends and usage confirms this: enterprises across industries have substantially increased their use of generative AI, across many kinds of AI tools. Once shared, this data can be fed into the data lakes used to train large language models (LLMs) and can be discovered by other users.

Enterprise 133

Enterprise Manufacturing Risk Data-driven 133

CIO Business Intelligence

MAY 24, 2022

To support real-time decision-making organisations need real-time data, in huge volumes. This data comes in many formats from multiple sources and multiple devices and may be stored in multiple silos. MANAGING DATA THOUGHOUT ITS LIFECYCLE. PLANNING AND EXECUTING THE DATA CLOUD MIGRATION.

Enterprise 98

Enterprise Cost-Benefit Structured Data Data-driven 98

CIO Business Intelligence

OCTOBER 30, 2023

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. That’s because data is often siloed across on-premises, multiple clouds, and at the edge.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. Three Types of Metadata in a Data Catalog.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

DECEMBER 19, 2024

Organizational data is often fragmented across multiple lines of business, leading to inconsistent and sometimes duplicate datasets. This fragmentation can delay decision-making and erode trust in available data. This solution enhances governance and simplifies access to unstructured data assets across the organization.

Publishing 86

Publishing Unstructured Data Metadata Data-driven 86

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics).

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

FEBRUARY 3, 2021

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 However, the impact of big data on the stock market is likely to be even greater. What Impact Is Big Data Having Towards Investing? billion by 2026.

Big Data 140

Big Data Marketing Data Analytics Analytics 140

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

Juice Analytics

MARCH 27, 2021

We’ve found 10 of the best options to automate and update data for recurring presentations. The Challenge Let’s say you need to produce the same presentation month after month, updating the data each time. The presentation is basically the same, you simply want to swap out the underlying data. Efficiency. Cost: $29/user/month.

Reporting 122

Reporting Visualization Interactive Data-driven 122

Cloudera

JUNE 11, 2024

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

datapine

APRIL 28, 2023

Table of Contents 1) What Are Data Types? 2) The Need For Data Types 3) List Of Common Data Types a) Primitive Data Types b) Composite Data Types c) Abstract Data Types In our digitally-driven age, data is permeating every industry and business function at an increasing pace.

Data-driven 200

Data-driven Reporting Visualization Interactive 200

CIO Business Intelligence

JULY 28, 2023

JLL, for instance, provides facilities management services for many cloud and data center operators. More recently, the company launched Carbon Pathfinder, an AI-driven sustainability software planning tool that is sold as SaaS or a suite with professional services. “AI Of course, JLL has only just begun to use generative AI and LLMs.

Structured Data 98

Structured Data Data-driven Software Modeling 98

CIO Business Intelligence

JUNE 28, 2022

Some call data the new oil. Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 138

Management Internet of Things Statistics Data-driven 138

CIO Business Intelligence

MAY 10, 2022

Customer data platform defined. A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. Customer data platform benefits. Types of CDPs.

Advertising 122

Advertising Interactive Marketing Structured Data 122

Sisense

JULY 22, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways organizations tackle the challenges of this new world to help their companies and their customers thrive. Understanding how data becomes insights.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Sisense

JUNE 30, 2020

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. Data visualization: painting a picture of your data.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

CIO Business Intelligence

MARCH 29, 2024

Generative AI is becoming the virtual knowledge worker with the ability to connect different data points, summarize and synthesize insights in seconds, allowing us to focus on more high-value-add tasks,” says Ritu Jyoti, group vice president of worldwide AI and automation market research and advisory services at IDC. “It

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. From enhancing data lakes to empowering AI-driven analytics, AWS unveiled new tools and services that are set to shape the future of data and analytics.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. In general terms, a model is a series of algorithms that can solve problems when given appropriate data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Quality 117

Data Quality Unstructured Data Testing Data-driven 117

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. The last 10+ years or so have seen Insurance become as data-driven as any vertical industry.

Insurance 150

Insurance Risk IoT Data-driven 150

CIO Business Intelligence

APRIL 14, 2022

With data-driven decisions and digital services at the center of most businesses these days, enterprises can never get enough data to fuel their operations. But not every bit of data that could benefit a business can be readily produced, cleansed, and analyzed by internal means. Who needs data as a service (DaaS)?

Enterprise 138

Enterprise Marketing Measurement Reporting 138