Smart Data Collective

APRIL 29, 2021

Big data has evolved from a technology buzzword into a real-world solution that helps companies and governments analyze data, extract the meaningful statistics, and apply it into their specific business needs. It’s not so much the realization that this information is collected, but what can be effectively done with it.

Big Data 95

Big Data Forecasting Unstructured Data Statistics 95

Smart Data Collective

JULY 26, 2023

Big data has driven major changes in the e-commerce sector in recent years. One of the biggest benefits of data analytics is that it can help e-commerce brands optimize their logistics and fulfillment processes. Advances in big data have played a huge role in this shift. Keep reading to learn more.

Big Data 85

Big Data Data-driven Management Optimization 85

Smart Data Collective

SEPTEMBER 14, 2022

A growing number of organizations are resorting to the use of big data. They have found that big data technology offers a number of benefits. However, utilizing big data is more difficult than it might seem. One of the most novel ways companies are using big data technology is by applying Lidar data.

Data-driven 125

Data-driven Big Data Cost-Benefit Measurement 125

IBM Big Data Hub

AUGUST 3, 2023

Organizations increasingly depend on their technology stack—which comprises the totality of their network interfaces, CPUs, virtual machines, operating system information and installed applications—to deliver consistent service to the end user. Applications fail or underperform for many different reasons.

Measurement 64

Measurement Metrics Risk Software 64

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. Safety Features.

Insurance 107

Insurance Measurement Risk Cost-Benefit 107

IBM Big Data Hub

JUNE 14, 2023

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

Manufacturing 72

Manufacturing Technology Internet of Things Cost-Benefit 72

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 Deep Learning 167

Smart Data Collective

JUNE 21, 2023

We have talked about a number of the ways that business leaders are investing in big data technology and analytics. There are many reasons that the demand for big data in the human resources sector is growing so quickly HR professionals are using big data to make strategic decisions.

Data-driven 81

Data-driven Analytics Metrics Big Data 81

IBM Big Data Hub

JUNE 8, 2023

However, many of these organizations lack a clear pathway to realizing their goals and 41% of surveyed executives cite inadequate data as their biggest obstacle to ESG progress. Technology, when harnessed effectively, can provide innovative solutions such as those that help to protect and restore reefs.

Technology 78

Technology Measurement Cost-Benefit Data-driven 78

Smart Data Collective

JULY 27, 2020

It is the 21 st century, and technology has experienced radical changes making it more seamless to perform tasks. The massive advancement in technology is increasing the rate of real time monitoring, data collection, and data measurement. Use a home automation system.

Technology 107

Technology Measurement Manufacturing Risk 107

Smart Data Collective

OCTOBER 4, 2023

Big data is more important for businesses than ever. Unfortunately, many are struggling to use data effectively. One study found that only 30% of companies have a well-articulated data strategy. Another survey showed only 13% of companies are meeting their data strategies’ goals.

Data-driven 94

Data-driven Advertising Data Collection Data Strategy 94

IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

Marketing 80

Marketing Technology Advertising ROI 80

CIO Business Intelligence

AUGUST 18, 2023

Defined as quantifiable and objective behavioral and physiological data collected and measured by digital devices such as implantables, wearables, ingestibles, or portables, digital biomarkers enable pharmaceutical companies to conduct studies remotely without the need for a physical site.

Measurement 88

Measurement Data Quality Visualization Data Collection 88

Rocket-Powered Data Science

MARCH 19, 2021

With its vast assortment of sensors and streams of data that yield digital insights in situ in almost any situation, the IoT / IIoT market has a projected market valuation of $1.5 trillion by 2030.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Occam's Razor

JUNE 25, 2012

The way data is collected online and what happens to it is a much-scrutinized issue (and rightly so). Digital data collection is also exceedingly complex, perhaps a reflection of the organic nature, and subsequent explosion, of the internet. Web Data Collection Context: Cookies and Tools.

Data Collection 130

Data Collection Advertising Metrics Reporting 130

IBM Big Data Hub

MARCH 20, 2024

Moreover, a public cloud model enables companies to automatically scale compute and storage resources up or down (along with data security measures and services) to meet their individual needs. In a public cloud computing model, a cloud service provider (CSP) owns and operates vast physical data centers that run client workloads.

Internet of Things 90

Internet of Things Cost-Benefit Data Processing IoT 90

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is not narrowly “selling data sets ;” it is about improving work and enhancing business performance by better-using data. External monetization opportunities enable different types of data in different formats to be information assets that can be sold or have their value recorded when used.

Strategy 106

Strategy Cost-Benefit Data-driven Measurement 106

IBM Big Data Hub

SEPTEMBER 11, 2023

The bulk of these uncertainties do not revolve around what software package to pick or whether to migrate to the cloud; they revolve around how exactly to apply these powerful technologies and data with precision and control to achieve meaningful improvements in the shortest time possible.

Data-driven 86

Data-driven IT Measurement Cost-Benefit 86

datapine

JANUARY 6, 2022

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

IBM Big Data Hub

MARCH 26, 2024

Businesses seeking to accelerate sustainability initiatives must take an integrated approach that brings together all business and technology functions. A pre-existing sustainability office may find resources or funds shifted to ESG, or a reprioritization of targets based on ESG measurements.

Measurement 62

Measurement Metrics Strategy Reporting 62

IBM Big Data Hub

MAY 28, 2024

While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy? Its principles are the same as those of data protection—to protect data and support data availability.

Strategy 72

Strategy Measurement Risk Cost-Benefit 72

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality.

Business Analytics 109

Business Analytics Analytics Data Quality Big Data 109

Rocket-Powered Data Science

JULY 7, 2019

Definitions of terminology frequently seen and used in discussions of emerging digital technologies. 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). Career Relevance.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. In the digital age, these capabilities are only further enhanced and harnessed through the implementation of advanced technology and business intelligence software.

Statistics 363

Statistics Advertising Visualization Data mining 363

Smart Data Collective

NOVEMBER 16, 2021

It’s all about revealing patterns and knowledge in potentially unintelligible data. While text analytics and mining remain fledgling technologies, they are already helping businesses in numerous impressive ways. It’s famously impossible to become 100% secure against cyber threats and data breaches. Public Relations.

Analytics 118

Analytics Unstructured Data Data Collection Software 118

Smart Data Collective

OCTOBER 8, 2023

In such a murky pool, the application of data analytics emerges as an invaluable tool. Harnessing the power of this technology can illuminate the path towards justice, bolstering the efforts of legal professionals. This involves data collection , data cleaning, data analysis, and data interpretation.

Data Analytics 93

Data Analytics Analytics Statistics Data Collection 93

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

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately.

Data-driven 86

Data-driven Big Data Metrics Strategy 86

Smart Data Collective

JULY 9, 2023

Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. Identifying Key Metrics for Conversion Rate Optimization Data collection and analysis are both essential processes for optimizing your conversion rate.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

IBM Big Data Hub

FEBRUARY 23, 2024

The GDPR applies to any organization that processes the personal data of European residents, regardless of where that organization is based. Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. Organizations may need to update consent forms to meet these requirements.

Measurement 77

Measurement Risk Data Collection Data Processing 77

CIO Business Intelligence

MAY 16, 2023

To gain perspective, Iron Mountain sponsored research by Quadrant Strategies, which used digital listening technologies to study public online conversation trends among enterprise decision-makers. AI surpassed other technologies in conversations about innovation The research underscores that AI is leading the way in accelerating innovation.

Advertising 79

Advertising Recreation/Entertainment Experimentation Enterprise 79

IBM Big Data Hub

APRIL 24, 2024

Some kinds of data, like biometrics and social security numbers, require stronger protections than others. Knowing how data moves through the network helps track usage, detect suspicious activity, and put security measures in the right places. The company conducts regular audits to keep the data inventory up to date.

Risk 80

Risk Measurement Data Governance Insurance 80

Smart Data Collective

NOVEMBER 5, 2020

Here at Smart Data Collective, we have talked about major changes that machine learning has created in the financial industry. Machine learning technology will improve on this technology, which may cause the market to grow even faster. Another security measure smart cards take is to react to possible dangers.

Machine Learning 122

Machine Learning Finance Measurement Data Collection 122

CIO Business Intelligence

JUNE 22, 2022

Ongoing innovation in digital technologies is now essential to support its expansion. Oxford Economics, a leader in global forecasting and quantitative analysis, teamed up with Huawei to develop a new approach to measuring the impact of digital technology on economic performance. That’s a big difference. The Time Is Now.

Digital Transformation 87

Digital Transformation Internet of Things Manufacturing Unstructured Data 87

IBM Big Data Hub

FEBRUARY 9, 2023

Start by identifying business objectives, desired outcomes, key stakeholders, and the data needed to deliver these objectives. Technology and data architecture play a crucial role in enabling data governance and achieving these objectives. Don’t try to do everything at once!

Data Governance 77

Data Governance Business Objectives Strategy Data Quality 77

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

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. Preparing the Data for Analysis.

Marketing Analytics 93

Marketing Analytics Marketing Data-driven Analytics 93