CIO Business Intelligence

DECEMBER 20, 2024

Invest in core functions that perform data curation such as modeling important relationships, cleansing raw data, and curating key dimensions and measures. Optimize data flows for agility. Limit the times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

Smart Data Collective

NOVEMBER 8, 2024

Smart businesses need to invest in the right data collection and retention strategies if they want to utilize big data effectively.

Data-driven 114

Data-driven Optimization Big Data Data Collection 114

Smart Data Collective

MAY 8, 2022

With GPS fleet tracking and superior data analytics capabilities, fleet managers can implement regulations using available data that helps to optimize services. With the availability of telematics solutions and data collection , you can make sure that your service is quick and reliable. Managing Driver Workload.

Optimization 122

Optimization Data Analytics Management Analytics 122

O'Reilly on Data

DECEMBER 10, 2019

As Chris Ré said at our conference , we’ve made a lot of progress in automating data collection and model generation; but labeling and cleaning data have stubbornly resisted automation. With AutoPandas, and automated tools for optimizing database queries, we’re just starting to see AI tools that are aimed at software developers.

Software 335

Software Machine Learning Risk Data-driven 335

Smart Data Collective

JULY 9, 2023

There are many ways that data analytics can help e-commerce companies succeed. One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

BizAcuity

FEBRUARY 21, 2025

Beyond Data Collection: Why Dynamics 365 Integration is Critical Most businesses today use Dynamics 365 for managing sales, finance, customer service, or operations. Well keep you in the loop on all things data! Need help navigating big data? Its a robust ERP and CRM suite, but its true power lies in integration.

Dashboards 52

Dashboards Optimization Finance Sales 52

CIO Business Intelligence

NOVEMBER 19, 2024

Some challenges include data infrastructure that allows scaling and optimizing for AI; data management to inform AI workflows where data lives and how it can be used; and associated data services that help data scientists protect AI workflows and keep their models clean.

Management 116

Management Unstructured Data Deep Learning Metadata 116

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Smart Data Collective

JULY 9, 2019

Use the powerful tool of big data to make sure those desires are fulfilled. The post How To Use Big Data To Deliver Optimized Customer Experiences appeared first on SmartData Collective. Remember, customers desire awesome experiences with your company and don’t mind paying more to have them.

Big Data 111

Big Data Optimization Interactive Sales 111

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. How to build analytic products in an age when data privacy has become critical”. Culture and organization.

Machine Learning 277

Machine Learning Risk Management Statistics 277

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. CTRs are easy to measure, but if you build a system designed to optimize these kinds of metrics, you might find that the system sacrifices actual usefulness and user satisfaction.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

MARCH 4, 2025

In finance, AI algorithms analyze customer data to upsell and cross-sell products at the right time, boosting revenue per customer. Operational efficiency: Logistics firms employ AI route optimization, cutting fuel costs and improving delivery times. A major stumbling block is often quality data collection.

Technology 118

Technology ROI Cost-Benefit Manufacturing 118

Smart Data Collective

MARCH 29, 2021

Asset data collection. Data has become a crucial organizational asset. Companies need to make the most out of their data resources, which includes collecting and processing them correctly. Data collection and processing methods are predicted to optimize the allocation of various resources for MRO functions.

Big Data 140

Big Data Management Cost-Benefit Internet of Things 140

Rocket-Powered Data Science

JUNE 17, 2022

release enables DevSecOps users to gain more insights from Observability data with Federated Search, with the ability to correlate ops with security alerts, and with Edge Management, all in one platform. My closing thought — Cybersecurity is basically Data Analytics: detection, prediction, prescription, and optimizing for unpredictability.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

datapine

JULY 8, 2020

A COO (chief operating officer) dashboard is a visual management tool used by COOs to connect multiple data sources, track, evaluate, and help COOs to optimize operational processes within a company by using interactive metrics and advanced analytical capabilities. What Is A COO Dashboard? Logistics transportation dashboard.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

Rocket-Powered Data Science

MAY 21, 2024

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win!

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

Smart Data Collective

JUNE 8, 2023

The introduction of data collection and analysis has revolutionized the way teams and coaches approach the game. Liam Fox, a contributor for Forbes detailed some of the ways that data analytics is changing the NFL. Big data will become even more important in the near future.

Data Analytics 105

Data Analytics Analytics Data Collection Statistics 105

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

Dataiku

OCTOBER 19, 2021

Between energy diversity, climate challenges, and growth in electricity consumption, energy producers and suppliers must constantly optimize their processes and anticipate demand in order to adjust their offers, a strategy based on massive data collection and the deployment of AI solutions.

Modeling 105

Modeling Data Collection Data Science Optimization 105

CIO Business Intelligence

MARCH 19, 2025

Integrating ESG into data decision-making CDOs should embed sustainability into data architecture, ensuring that systems are designed to optimize energy efficiency, minimize unnecessary data replication and promote ethical data use.

IT 59

IT Data Governance Data-driven Metrics 59

Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

Smart Data Collective

APRIL 9, 2020

This information is later provided, sold, and monopolized by corporations who are looking to make targeted advertising campaigns, collect user data, and much more. While this might be harmless in a way, not everyone is so calm about giving out their data. And not all data collection consists of mere browsing data.

Advertising 127

Advertising Data Collection Optimization Marketing 127

Smart Data Collective

MARCH 24, 2020

Predicting academic performance is one of the key research topics in Big Data in education. The relationship between performance parameters and factors for predicting performance is involved in complex nonlinear relationships, so the areas of data collection should be comprehensive. Data collection. Adjustment.

Big Data 121

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 121

CIO Business Intelligence

AUGUST 9, 2024

Twenty-nine percent of 644 executives at companies in the US, Germany, and the UK said they were already using gen AI, and it was more widespread than other AI-related technologies, such as optimization algorithms, rule-based systems, natural language processing, and other types of ML.

Risk 138

Risk Measurement Data Lake Data Collection 138

CIO Business Intelligence

OCTOBER 2, 2024

Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. Raw data collected through IoT devices and networks serves as the foundation for urban intelligence. from 2023 to 2028.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

Smart Data Collective

DECEMBER 17, 2021

The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Understanding your marketing data to make more informed and successful marketing strategy decisions is a systematic process. Types of Data Used in Marketing Analytics.

Marketing Analytics 122

Marketing Analytics Marketing Data-driven Analytics 122

datapine

SEPTEMBER 1, 2020

While there are numerous types of dashboards that you can choose from to adjust and optimize your results, we have selected the top 3 that will tell you more about the story behind them. Combining all of it with the quantitative data collected will allow you for more successful product development. Let’s take a closer look.

Reporting 247

Reporting Marketing KPI Dashboards 247

CIO Business Intelligence

AUGUST 19, 2024

The company’s mission is to provide farmers with real-time insights derived from plant data, enabling them to optimize water usage, improve crop yields, and adapt to changing climatic conditions. Real-time data for enhanced agricultural efficiency Real-time data collection and analysis are critical to SupPlant’s approach.

IoT 126

IoT Data-driven Data Enablement Optimization 126

Smart Data Collective

APRIL 20, 2022

An automated data profiling tool can discover and filter potentially inaccurate values while marking the information for further investigation or assessment. It aids in the identification of erroneous data and its sources. Standardizing the data collecting and data input process can go a long way toward ensuring optimal accuracy.

Data Processing 145

Data Processing Data Collection Technology Optimization 145

CIO Business Intelligence

SEPTEMBER 26, 2024

“Passive, battery-free RAIN RFID can identify and track items without direct line-of-sight access, enabling real-time, automated data collection and reporting at critical points along the product’s journey.” In an industry that saw inventory management related losses estimated at $94.5

IT 131

IT Manufacturing IoT Cost-Benefit 131

O'Reilly on Data

MAY 14, 2020

The foundation of any data product consists of “solid data infrastructure, including data collection, data storage, data pipelines, data preparation, and traditional analytics.” Serving Infrastructure: Our previous article mentioned the need to “walk before running” in the development of AI products.

Management 364

Management Experimentation B2B Machine Learning 364

O'Reilly on Data

JUNE 18, 2019

Data programming. Increasing the quality of the available data via either unification or cleaning, or both, is definitely an important and a promising way forward to leverage enterprise data assets. Ihab Ilyas on “Why data preparation frameworks rely on human-in-the-loop systems”.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

CIO Business Intelligence

JANUARY 3, 2024

These objections often include, “But we’ve always done it this way” (resistance to change), “It works just fine as is” (accepting the status quo which may be a sub-optimal solution), “Let’s wait until post-build” (pushing things off until later), “Let’s start with the metaverse” (being distracted by shiny objects), and more.

Cost-Benefit 136

Cost-Benefit ROI Manufacturing Optimization 136

Smart Data Collective

MAY 11, 2023

Since the launch of Smart Data Collective, we have talked at length about the benefits of AI for mobile technology. App analytics provide valuable insights that help identify bottlenecks, improve user experience, and optimize marketing campaigns. AI has been invaluable for e-commerce brands.

Cost-Benefit 116

Cost-Benefit Data-driven Optimization Machine Learning 116

Smart Data Collective

FEBRUARY 24, 2022

The more information you can gather about people’s misunderstandings and struggles they often go through, the better it’ll be for optimizing the processes and interface within your product or strengthening your onboarding process. How data can optimize your onboarding process. Data analytics importance.

Data Analytics 124

Data Analytics Analytics Visualization Optimization 124

Cloudera

APRIL 13, 2022

It means your company has automated the processes of collecting, understanding and acting on data across the board, from production to purchasing to product development to understanding customer priorities and preferences. Data collection and interpretation when purchasing products and services can make a big difference.

Data Collection 112

Data Collection Machine Learning Strategy Data-driven 112

CIO Business Intelligence

FEBRUARY 10, 2023

By optimizing marketing campaigns with predictive analytics , organizations can also generate new customer responses or purchases, as well as promote cross-sell opportunities. Optimize raw material deliveries based on projected future demands. Forecast financial market trends.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145