Smart Data Collective

MAY 13, 2022

There are many reasons big data has become a double-edged sword for businesses. Many companies are using data analytics to monitor their employee productivity and other behavior. It can be even more beneficial than using big data for recruiting. This is an area where big data can help immensely.

Data-driven 108

Data-driven Big Data Software Data Analytics 108

Smart Data Collective

MARCH 27, 2020

The auto insurance industry has always relied on data analysis to inform their policies and determine individual rates. With the technology available today, there’s even more data to draw from. The good news is that this new data can help lower your insurance rate. Demographics. Demographics. This includes: Age. Occupation.

Insurance 107

Insurance Measurement Risk Cost-Benefit 107

CIO Business Intelligence

FEBRUARY 9, 2024

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury.

Recreation/Entertainment 125

Recreation/Entertainment Data-driven Risk Digital Transformation 125

Cloudera

DECEMBER 21, 2020

Hybrid cloud is the best of both worlds – it allows low latency in data transfer combined with high data security offered by on-prem with the low TCO of ownership of scalable advanced analytics solutions in the cloud. . Enhancing Online Customer Experience with Data .

Data-driven 91

Data-driven Data Strategy Strategy Cost-Benefit 91

Jet Global

APRIL 14, 2022

When the time comes for month-end reporting, ERPs like Yardi manage and compartmentalize data with out of the box reports. Because outsourcing requires communication and data exchange between different companies, this option is even more cumbersome. Reduce the risk of human error. Improve data quality. 33% Reactive.

Data Collection 52

Data Collection Management Finance Reporting 52

Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

Jet Global

JANUARY 20, 2020

Primarily because it gives companies a clear indication of their risk exposure as they move forward in an uncertain economy. Becoming overleveraged with debt raises the risk of insolvency because of the heavy repayment burden. Finding the Ratios Inside the Data. First, it automates data collection and analysis.

Risk 80

Risk Metrics Snapshot Dashboards 80

Jet Global

SEPTEMBER 29, 2021

The Importance of Data-Driven Finance Leaders. More than ever before, businesspeople rely on their Finance leaders to drive strategic initiatives and business growth, not just report the numbers, to help manage global risk and operations and better serve customers. How Finance Leaders Use Data to Support Decision-Making.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

CIO Business Intelligence

AUGUST 1, 2023

Data collection on tribal languages has been undertaken for decades, but in 2012, those working at the Myaamia Center and the National Breath of Life Archival Institute for Indigenous Languages realized that technology had advanced in a way that could better move the process along.

Risk 97

Risk IT Software Digital Transformation 97

IBM Big Data Hub

MARCH 7, 2023

From the moment of birth to discharge, healthcare professionals can collect so much data about an infant’s vitals—for instance, heartbeat frequency or every rise and drop in blood oxygen level. Years’ worth of aggregated data in the NICU could help lead us to a solution. million infant deaths annually.

Risk 52

Risk Technology Informatics Predictive Modeling 52

Smart Data Collective

MAY 25, 2023

We live in a digital age, where data is the new currency. Every day, a massive amount of information is generated, processed, and stored, and it is critical for everyone who offers their services online to prioritize privacy and ensure responsible data practices. Then adhere to data ethics. Don’t want to mess things up?

Data Collection 84

Data Collection Measurement Data-driven Risk 84

O'Reilly on Data

DECEMBER 10, 2019

Nor are building data pipelines and deploying ML systems well understood. That doesn’t mean we aren’t seeing tools to automate various aspects of software engineering and data science. We’ve also seen (and featured at O’Reilly’s AI Conference) Snorkel , an ML-driven tool for automated data labeling and synthetic data generation.

Software 259

Software Machine Learning Risk Data-driven 259

CIO Business Intelligence

APRIL 8, 2024

Two US lawmakers have proposed a draft bipartisan data privacy legislation, poised to overhaul the current data privacy landscape, with significant implications for businesses across various sectors. The proposed privacy act’s impact is further magnified by the global trend towards data privacy legislation.

Measurement 83

Measurement Advertising Data-driven Data Collection 83

Sisense

MARCH 3, 2021

Big data in healthcare has the power to improve care, lower costs, and save lives. Healthcare providers are steadily digitizing their internal operations, resulting in mountains of new data being collected daily. The rise of healthcare data and digitization. Better results with AI.

Big Data 98

Big Data Risk Sales Insurance 98

Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. With the emergence of new technologies, including privacy enhancing techniques (PETs) that further protect the customer, monetizing data has become more accessible than ever before.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

IBM Big Data Hub

FEBRUARY 7, 2024

These efforts are often driven by stakeholder expectations, regulatory requirements and the recognition that sustainable business practices can improve the bottom line. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. trillion to the global economy by 2050.

Reporting 91

Reporting Internet of Things Cost-Benefit Data-driven 91

Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. There are many ways that data analytics can help e-commerce companies succeed. Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. billion on analytics last year.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

Cloudera

FEBRUARY 14, 2018

I’ve spent the last four years here at Cloudera talking with our customers about how to run their businesses better using their data and Cloudera’s products and services. Now I get to put my money where my mouth is – and turn my focus internally on how we at Cloudera can become more data-driven.

Data-driven 44

Data-driven Data Quality Risk Interactive 44

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New Avenues of Data Discovery. These new avenues of data discovery will give business intelligence analysts more data sources than ever before.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

Smart Data Collective

MAY 28, 2021

Data security and data collection are both much more important than ever. Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure.

Data-driven 133

Data-driven Cost-Benefit Big Data Data Processing 133

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 110

Data Collection Machine Learning Strategy Data-driven 110

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

Strategy 106

Strategy Cost-Benefit Data-driven Measurement 106

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. Data Centricity.

Data Governance 140

Data Governance IT Risk Data Lake 140

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 131

Data Strategy Strategy Unstructured Data Data Governance 131

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

Machine Learning 343

Machine Learning Statistics Data Quality Modeling 343

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. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smart Data Collective

MAY 4, 2023

UMass Global has a very insightful article on the growing relevance of big data in business. Big data has been discussed by business leaders since the 1990s. Professionals have found ways to use big data to transform businesses. One thing that they need to do is collect data their business needs.

Data mining 77

Data mining Big Data Data-driven Measurement 77

Rocket-Powered Data Science

JULY 21, 2023

By providing real-time data insights into all aspects of business and IT operations, Splunk’s comprehensive visibility and observability offerings enhance digital resilience across the full enterprise. From these data streams, real-time actionable insights can feed decision-making and risk mitigations at the moment of need.

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190

Cloudera

APRIL 20, 2022

As healthcare providers and insurers /payers worked through mass amounts of new data, our health insurance practice was there to help. One of our insurer customers in Africa collected and analyzed data on our platform to quickly focus on their members that were at a higher risk of serious illness from a COVID infection.

Insurance 98

Insurance Measurement Data Lake Risk 98

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. The complexity of the task determines the cost and availability of functions, as well as how data is processed and integrated. The global commercial drone market is projected to grow from USD 8.15

Data Collection 78

Data Collection Visualization Data-driven Unstructured Data 78

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics.

Marketing 361

Marketing Experimentation Metrics Testing 361

Smart Data Collective

NOVEMBER 1, 2023

Data analytics offers a number of benefits for growing organizations. While there are multiple ways to better your team’s performance, utilizing employee productivity data is among the most effective. Discussed below are six ways to use data to improve employee performance.

Metrics 86

Metrics Measurement Data-driven Optimization 86

CIO Business Intelligence

MARCH 23, 2022

In fact, the days of task-driven technology have vanished, replaced by technology as a vehicle for business growth. While enterprise transformation is driven by customer and business needs, technology can be the catalyst for large transformational change. Technology can be a double-edged sword.

Technology 79

Technology IoT Internet of Things Data-driven 79

Ontotext

FEBRUARY 12, 2024

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Enterprises should identify and adopt specific data mesh elements to achieve velocity.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

CIO Business Intelligence

JANUARY 30, 2024

The foundation for ESG reporting, of course, is data. Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents.

Reporting 93

Reporting Data Quality Strategy Data-driven 93

Ontotext

MAY 5, 2023

Knowledge Representation In the context of the Financial Services Industry domain, the most popular examples of such data are entity (Who?) These two key data elements are used in approximately 80% of the use cases in the sector. Integrating reporting to move to a more streamlined, efficient approach to data collection.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

O'Reilly on Data

OCTOBER 22, 2020

Understanding the company’s true purpose unlocks the business model and sheds light on what is useful to do with the data. Since I work in the AI space, people sometimes have a preconceived notion that I’ll only talk about data and models. How did you obtain your training data? Source: Shane.

Consulting 292

Consulting Risk Cost-Benefit Modeling 292