O'Reilly on Data

NOVEMBER 13, 2018

At the recent Strata Data conference we had a series of talks on relevant cultural, organizational, and engineering topics. Here's a list of a few clusters of relevant sessions from the recent conference: Data Integration and Data Pipelines. Data Platforms. Model lifecycle management.

Machine Learning 277

Machine Learning Risk Management Statistics 277

Smart Data Collective

DECEMBER 14, 2021

Not only that, but the product or service primarily influences the public’s perception of a brand that they offer, so gathering the data that will inform them of customers’ level of satisfaction is extremely important. Here are a few methods used in data collection. But what ways should be used to do so? Conduct Surveys.

Data Collection 134

Data Collection Statistics Data-driven Marketing Analytics 134

Smart Data Collective

APRIL 13, 2020

New scheduling tools use big data to address these types of challenges. A growing number of customer service representatives are using customer relationship management (CRM) tools to handle customer inquiries. However, big data has introduced other benefits of CRMs. Streamlining customer service inquiries through CRMs.

Data Collection 141

Data Collection Big Data Cost-Benefit Data-driven 141

Analytics Vidhya

MARCH 5, 2023

A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data. Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version.

Data Collection 319

Data Collection Management Technology Analytics 319

Analytics Vidhya

MAY 29, 2023

The two pillars of data analytics include data mining and warehousing. They are essential for data collection, management, storage, and analysis. Both are associated with data usage but differ from each other.

Data mining 307

Data mining Data Collection Strategy Data Analytics 307

CIO Business Intelligence

JULY 23, 2024

“Oracle ultimately produced over 160,000 pages of responsive documents to Plaintiffs, as well as over 283 videos consisting largely of internal discussions of the technical operation of Oracle’s data collection and use practices, spanning approximately 173 hours,” the filing said.

Data Collection 102

Data Collection Advertising Risk Consulting 102

Analytics Vidhya

FEBRUARY 21, 2023

Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data.

Data Warehouse 290

Data Warehouse IT Data Collection Reporting 290

Smart Data Collective

MARCH 29, 2021

One study from NewVantage found that 97% of respondents said that their company was investing heavily in big data and AI. Maintenance management’s primary focus has always been maximizing the quality, effectiveness, and quality of equipment in an organization. Asset data collection. Compliance and safety management.

Big Data 140

Big Data Management Cost-Benefit Internet of Things 140

datapine

FEBRUARY 9, 2024

Table of Contents 1) What Is KPI Management? 4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs.

KPI 221

KPI Management Key Performance Indicator Measurement 221

Analytics Vidhya

OCTOBER 28, 2022

Introduction Data is defined as information that has been organized in a meaningful way. Data collection is critical for businesses to make informed decisions, understand customers’ […]. The post Data Lake or Data Warehouse- Which is Better? appeared first on Analytics Vidhya.

Data Lake 373

Data Lake Data Warehouse Data Collection Data Science 373

Smart Data Collective

MAY 16, 2022

One poll found that 74% of companies feel they are still struggling to use data effectively. One of the problems is that they don’t manage their data well. How Companies Can Manage their Data Better. The process of managing data can be quite daunting and complicated.

Management 136

Management Data mining Data Warehouse Data Collection 136

Analytics Vidhya

FEBRUARY 21, 2023

Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data.

Analytics 271

Analytics Data Collection Reporting Technology 271

Smart Data Collective

MARCH 8, 2021

And I do not mean large amounts of information per se, but rather data that is processed at high speed and has a strong variability. Nowadays, managers across industries rely on information systems such as CRMs to improve their business processes. All in all, the concept of big data is all about predictive analytics.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. The key to success is to start enhancing and augmenting content management systems (CMS) with additional features: semantic content and context.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

CIO Business Intelligence

JUNE 9, 2022

A data management platform (DMP) is a group of tools designed to help organizations collect and manage data from a wide array of sources and to create reports that help explain what is happening in those data streams. Adobe Audience Manager.

Management 144

Management Advertising Data Lake Sales 144

Analytics Vidhya

FEBRUARY 4, 2023

Introduction As a data scientist, you have the power to revolutionize the real estate industry by developing models that can accurately predict house prices. Get ready to learn about data collection and analysis, model selection, and […] The post How to Build a Real Estate Price Prediction Model?

Predictive Modeling 306

Predictive Modeling Modeling Data Collection Analytics 306

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Datasphere is not just for data managers.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

CIO Business Intelligence

FEBRUARY 20, 2025

Decades-old apps designed to retain a limited amount of data due to storage costs at the time are also unlikely to integrate easily with AI tools, says Brian Klingbeil, chief strategy officer at managed services provider Ensono. According to IDCs 2023 CIO Sentiment Survey , organizations were spending an average of 12.8%

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

Smart Data Collective

SEPTEMBER 21, 2021

With the increased adoption of cloud and emerging technologies like the Internet of Things, data is no longer confined to the boundaries of organizations. The increased amounts and types of data, stored in various locations eventually made the management of data more challenging. Challenges in maintaining data.

Management 131

Management Internet of Things Data Quality Data Integration 131

O'Reilly on Data

MARCH 24, 2020

Beyond the autonomous driving example described, the “garbage in” side of the equation can take many forms—for example, incorrectly entered data, poorly packaged data, and data collected incorrectly, more of which we’ll address below. Data collected for one purpose can have limited use for other questions.

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

CIO Business Intelligence

OCTOBER 2, 2024

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. Data management, when done poorly, results in both diminished returns and extra costs.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

CIO Business Intelligence

JUNE 28, 2022

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. Data storage costs are exploding.

Management 138

Management Internet of Things Statistics Data-driven 138

Smart Data Collective

APRIL 25, 2022

A lot of organizations don’t recognize the role that AI technology can play when it comes to business management, improving customer relationships and managing your business’s online profile. This is one of the reasons they use AI to manage their profiles on Instagram and other platforms.

Management 144

Management Machine Learning Marketing Deep Learning 144

CIO Business Intelligence

JULY 15, 2022

What is vendor management? Vendor management helps organizations take third-party vendor relationships from a passive business transaction to a proactive collaborative partnership. While working with IT vendors can help ease the burden on IT, it also raises concerns, especially around data, risk, and security.

Management 122

Management Cost-Benefit Risk Software 122

datapine

APRIL 16, 2019

While sometimes it’s okay to follow your instincts, the vast majority of your business-based decisions should be backed by metrics, facts, or figures related to your aims, goals, or initiatives that can ensure a stable backbone to your management reports and business operations. Data driven business decisions make or break companies.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

MAY 8, 2022

The fleet management sector is among those driving the growing demand. Many fleet management companies were reluctant to embrace the power of big data a decade ago. Their skepticism has waned significantly, as they have finally started to discover the countless benefits that big data has to offer for their industry.

Optimization 122

Optimization Data Analytics Management Analytics 122

CIO Business Intelligence

SEPTEMBER 27, 2024

I give directions and strategies to the supplier and the partner, and an internal project manager acts as a link. This philosophy has led to the activation of an information system that manages clinical data in the three Emergency surgical centers in Afghanistan through the SDC software platform.

Management 128

Management IT Cost-Benefit Testing 128

Rocket-Powered Data Science

MARCH 19, 2021

But more significant has been the acceleration in the number of dynamic, real-time data sources and corresponding dynamic, real-time analytics applications. We no longer should worry about “managing data at the speed of business,” but worry more about “managing business at the speed of data.”.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 105

Management Advertising Data Lake Sales 105

Rocket-Powered Data Science

JULY 6, 2021

While it is similar to MLOps, AIOps is less focused on the ML algorithms and more focused on automation and AI applications in the enterprise IT environment – i.e., focused on operationalizing AI, including data orchestration, the AI platform, AI outcomes monitoring, and cybersecurity requirements. will look like).

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Smart Data Collective

SEPTEMBER 22, 2021

Unlike defined data – the sort of information you’d find in spreadsheets or clearly broken down survey responses – unstructured data may be textual, video, or audio, and its production is on the rise. In fact, 56% of businesses say that getting their unstructured data into the cloud is a top priority.

Unstructured Data 135

Unstructured Data Management Cost-Benefit Machine Learning 135

CIO Business Intelligence

JULY 3, 2023

For the last 30 years, the dream of being able to collect, manage and make use of the collected knowledge assets of an organization has never been truly realized. Data exists in ever larger silos, but real knowledge still resides in employees. The knowledge management dream is becoming a reality.

Management 105

Management Experimentation Modeling Enterprise 105

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

Machine Learning 279

Machine Learning Software Metadata Testing 279

CIO Business Intelligence

JANUARY 9, 2025

These required specialized roles and teams to collect domain-specific data, prepare features, label data, retrain and manage the entire lifecycle of a model. Take, for example, an app for recording and managing travel expenses. A manager wants to assess the general mood of the team during a specific week.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

CIO Business Intelligence

FEBRUARY 13, 2023

Six Sigma is a quality management methodology used to help businesses improve current processes, products, or services by discovering and eliminating defects. Six Sigma is specifically designed to help large organizations with quality management. What is Six Sigma? Six Sigma was trademarked by Motorola in 1993.

Management 97

Management Statistics Manufacturing Measurement 97