Smart Data Collective

DECEMBER 15, 2021

Personalization is among the prime drivers of digital marketing, thanks to data analytics. Gathered data enables business owners to understand the needs of buyers. Reduced Risks. By optimizing your marketing campaigns, analytics helps you identify risks and quickly patch them. Personalized Services.

ROI 116

ROI Marketing Data Analytics Analytics 116

Smart Data Collective

NOVEMBER 1, 2023

This system enables you to automate employee hours recording and tracking, preventing manual timesheet use and reducing the risk of inaccuracies. Employee time tracking software facilitates better time management.

Metrics 86

Metrics Measurement Data-driven Optimization 86

IBM Big Data Hub

SEPTEMBER 12, 2023

Reduced human error: Manual observation introduces a higher risk of human error. Observing and interpreting data manually can lead to inconsistencies and oversight, potentially causing critical issues to be overlooked. Cost-effectiveness: Manual observation may require dedicated personnel, leading to increased labor costs.

Data-driven 65

Data-driven Cost-Benefit Predictive Analytics Machine Learning 65

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. The lab uses Cloudera running on Cazena’s Fully-Managed Big Data as a Service on Amazon Web Services (AWS). Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Sisense

OCTOBER 6, 2020

These techniques allow you to: See trends and relationships among factors so you can identify operational areas that can be optimized Compare your data against hypotheses and assumptions to show how decisions might affect your organization Anticipate risk and uncertainty via mathematically modeling.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Smart Data Collective

JULY 9, 2023

Despite the many benefits that big data offers to the e-commerce sector, many companies are struggling to use it effectively. We have talked a lot about the importance of big data in e-commerce. A growing number of ecommerce brands are using centralized data systems to help improve efficiency.

Big Data 76

Big Data Data-driven Sales Risk 76

Smart Data Collective

AUGUST 14, 2022

A comprehensive DLP plan can monitor data in transit within networks, cloud storage, and active endpoints. In addition to vulnerability assessment, DLP improves system administrators’ visibility – they can track how every user accesses data and bring the risk of a data leak to a minimum. Building a DLP Plan.

Risk 123

Risk Cost-Benefit Software Reporting 123

Jet Global

MARCH 22, 2023

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. According to Forbes , almost three-quarters of entrepreneurs are already using big data to try and pull ahead of the competition.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

IBM Big Data Hub

JUNE 14, 2023

In smart factories, IIoT devices are used to enhance machine vision, track inventory levels and analyze data to optimize the mass production process. Artificial intelligence (AI) One of the most significant benefits of AI technology in smart manufacturing is its ability to conduct real-time data analysis efficiently.

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

IBM Big Data Hub

APRIL 4, 2024

Benefits: Automated claim processing Reduced processing times Enhanced visibility Compliance and risk management By automating routine tasks and implementing predefined rules, BPM enables timely compliance with regulatory requirements and internal policies.

Management 55

Management Cost-Benefit Metrics Consulting 55

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 92

Data Analytics Analytics Data Warehouse Data Lake 92

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. Watsonx, IBM’s next-generation AI platform, is designed to do just that.

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

IBM Big Data Hub

AUGUST 11, 2023

Furthermore, MES systems provide organizations with comprehensive and accurate production data, enabling data-driven decision-making to continuously enhance business processes and optimize resource utilization. Reduce risk, maintain compliance and increase ROI with applications built on 30+ years of market-leading technology.

Software 68

Software Manufacturing Cost-Benefit ROI 68

IBM Big Data Hub

OCTOBER 20, 2023

Enhanced security Open source packages are frequently used by data scientists, application developers and data engineers, but they can pose a security risk to companies. The best AI platforms typically have various measures in place to ensure that your data, application endpoints and identity are protected.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

IBM Big Data Hub

DECEMBER 20, 2023

Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure. Today, hybrid cloud security platforms combine artificial intelligence (AI) , machine learning and automation to ingest high volumes of complex security data, enabling near-real-time threat detection and prediction.

Strategy 95

Strategy Cost-Benefit Digital Transformation Optimization 95

IBM Big Data Hub

JANUARY 9, 2024

These assistants, capable of handling numerous customer inquiries in real time, provided tailored responses based on individual customer data. Additionally, the retailer used IBM’s AI-driven summarization tools to efficiently analyze customer feedback and sales data, enabling swift and informed decision-making.

Data-driven 101

Data-driven Risk Modeling Marketing 101

Alation

JUNE 1, 2023

Every Data, Everywhere, All at Once with DIRECTV Who: Jack Purvis , senior director, chief data officer at DIRECTV, and Joe Conard , principal big data engineer at DIRECTV When: Tuesday, June 27, at 12:30 p.m. However, managing risk and accommodating growth can be challenging.

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

CIO Business Intelligence

APRIL 12, 2022

Traditional supply chain analytics and decision-making focused on risk avoidance and control. The more data you have, the more costs you save.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Risk Management (most likely within context of governance).

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52