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 96

Big Data Forecasting Unstructured Data Statistics 96

Rocket-Powered Data Science

SEPTEMBER 18, 2018

For the modern digital organization, the proof of any inference (that drives decisions) should be in the data! Rich and diverse data collections enable more accurate and trustworthy conclusions. In “big data language”, we are talking about one of the 3 V’s of big data: big data Variety!

Big Data 103

Big Data Data Science Measurement Data Collection 103

IBM Big Data Hub

AUGUST 3, 2023

Seven metrics that identify the relative success of your application health monitoring process Organizations need to have a comprehensive plan to ensure the health of their applications, but one key component of any application health monitoring process is data collection. Applications fail or underperform for many different reasons.

Measurement 66

Measurement Metrics Risk Software 66

Smart Data Collective

MARCH 27, 2020

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. Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Demographics. This includes: Age. Safety Features.

Insurance 108

Insurance Measurement Risk Cost-Benefit 108

AWS Big Data

DECEMBER 5, 2023

The counties that are in lighter shades represent limited survey responses and need to be included in the targeted data collection strategy. Finally, the dashboard’s user-friendly interface made survey data more accessible to a wider range of stakeholders. The first image shows the dashboard without any active filters.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79

Smart Data Collective

FEBRUARY 14, 2020

Big data is a great asset for countless people all over the world. A growing number of companies are relying on data to deliver more value for their customers. One report shows the market for big data could reach $103 billion in the next seven years. Unfortunately, big data comes with a price.

Big Data 101

Big Data Reporting Risk Advertising 101

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. Companies must be aware of the different ways that data can be collected, aggregated and applied.

Data-driven 127

Data-driven Big Data Cost-Benefit Measurement 127

Smart Data Collective

JULY 30, 2019

Big data is being used more frequently in healthcare facilities all over the world. One report shows that the global market for big data in healthcare is expected to reach $68.75 However, this figure misses some important nuances, such as which areas of medicine are using big data the most. billion in 2025.

Big Data 79

Big Data Software Risk Measurement 79

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 83

Data-driven Analytics Metrics Big Data 83

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 166

Analytics Machine Learning Data Science Deep Learning 166

Smart Data Collective

APRIL 5, 2019

Big data is playing a more important role than ever in fine-tuning the relationship between customers and brands. The Complex Role Between Big Data and Social Listening Tools. A number of companies use big data to provide better social listening capabilities.

Big Data 79

Big Data Interactive Data-driven Metrics 79

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

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 79

Data mining Big Data Data-driven Measurement 79

Smart Data Collective

OCTOBER 26, 2019

Having a physical off-site backup is a much better redundancy measure. RTO is crucial to ensuring that a business gets its data back into its systems after a system-wide shut down within a reasonable window. However, reasonable is a subjective measure. Big Data Storage Concerns. Conclusion.

Big Data 45

Big Data Data Lake Cost-Benefit Measurement 45

FineReport

MARCH 7, 2024

In the realm of big data utilization , we often romanticize its profound impact, envisioning scenarios like precision-targeted advertising, streamlined social security management, and the intelligent evolution of the pharmaceutical sector. Why Big Data Analysis Report? Try FineReport Now 1.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Smart Data Collective

MAY 25, 2023

Responsible data practices go beyond privacy and extend to the overall handling, processing, and sharing of information. Organizations must ensure that data is collected and used for legitimate purposes and that appropriate security measures are in place to protect it from unauthorized access or breaches.

Data Collection 86

Data Collection Measurement Data-driven Risk 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

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 112

Business Analytics Analytics Data Quality Big Data 112

Smart Data Collective

AUGUST 31, 2020

At Smart Data Collective, we have talked extensively about the benefits of big data in digital marketing. We have focused a lot on using data analytics for SEO. However, there are a lot of other benefits of using big data in marketing. Big data developments have heightened these benefits.

Data-driven 86

Data-driven Marketing Big Data Broadcasting 86

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 110

Data-driven Big Data Software Data Analytics 110

Rocket-Powered Data Science

MARCH 19, 2021

Focus on the strategies that aim these tools, talents, and technologies on reaching business mission and goals: e.g., data strategy, analytics strategy, observability strategy ( i.e., why and where are we deploying the data-streaming sensors, and what outcomes should they achieve?).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Smart Data Collective

MARCH 28, 2022

Prescriptive data analytics: It is used to predict outcomes and necessary subsequent actions by combining the features of big data and AI. Diagnostic data analytics: It analyses the data from the past to identify the cause of an event by using techniques like data mining, data discovery, and drill down.

Data Analytics 86

Data Analytics Software Analytics Statistics 86

Smart Data Collective

MAY 29, 2023

Overcoming representation bias necessitates comprehensive data collection efforts that cover a wide range of languages and dialects, ensuring equal representation and inclusivity. Measuring Bias in Output Results Comprehensive and nuanced approaches are necessary to measure bias in AI translation output results.

Metrics 69

Metrics Measurement Data Collection Strategy 69

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. In 2012, the global mean temperature was measured at 58.2 degrees Fahrenheit.

Statistics 363

Statistics Advertising Visualization Data mining 363

Smart Data Collective

NOVEMBER 1, 2023

Study employee performance metrics Performance metrics are a measure of how well team members are doing at their work. Studying historical data can help your company measure an employee onboarding process’s effectiveness. They reflect your business’s performance.

Metrics 89

Metrics Measurement Data-driven Optimization 89

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 81

Measurement Risk Data Collection Data Processing 81

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 74

Optimization Data Analytics Analytics Data-driven 74

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 85

Risk Measurement Data Governance Insurance 85

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. Write Down Your Objectives.

Data-driven 87

Data-driven Big Data Metrics Strategy 87

datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Smart Data Collective

OCTOBER 8, 2023

Methodologies in Deploying Data Analytics The application of data analytics in fast food legal cases requires a thorough understanding of the methodologies involved. This involves data collection , data cleaning, data analysis, and data interpretation.

Data Analytics 96

Data Analytics Analytics Statistics Data Collection 96

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

Rocket-Powered Data Science

JULY 7, 2019

Such approaches can enable more accurate and faster modeling and analysis of the characteristics and behaviors of a system and can exploit data in intelligent ways to convert them to new capabilities, including decision support systems with the accuracy of full scale modeling, efficient data collection, management, and data mining.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Smart Data Collective

NOVEMBER 16, 2021

Big data and client communication go hand in hand. Once they grow to thousands of records in size, the technology could establish itself as the best way to interpret and arrange data in the future. Using text analytics to measure sentiment can extend beyond what existing customers think. Enhanced Client Management.

Analytics 120

Analytics Unstructured Data Data Collection Software 120

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 96

Marketing Analytics Marketing Data-driven Analytics 96

IBM Big Data Hub

JANUARY 22, 2024

The practical steps an organization takes to meet these requirements will depend on its location, resources and data processing activities, among other factors. The GDPR defines the circumstances under which companies can legally process personal data. It cannot change the basis after the fact unless it has user consent to do so.

Measurement 87

Measurement Risk Data Processing Data Collection 87