Smart Data Collective

APRIL 8, 2020

In order to make data useful, actionable and scalable for their business, enterprises need an efficient and cost-effective way to store, label, and interpret this data. One of the most lucrative ways to do this is through data warehousing. Cloud based solutions are the future of the data warehousing market.

Technology 144

Technology Data Warehouse Big Data Machine Learning 144

CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Predictive analytics has captured the support of wide range of organizations, with a global market size of $12.49

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

JANUARY 20, 2023

Trusted and governed data: Modern BI platforms can combine internal databases with external data sources into a single data warehouse, allowing departments across an organization to access the same data at one time.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Smart Data Collective

JUNE 11, 2019

Big data is everywhere , and it’s finding its way into a multitude of industries and applications. One of the most fascinating big data industries is manufacturing. In an environment of fast-paced production and competitive markets, big data helps companies rise to the top and stay efficient and relevant.

Manufacturing 111

Manufacturing Analytics Big Data Data mining 111

Smart Data Collective

MAY 4, 2023

Using Residential Proxies to Collect Data for Your Business In the digital age, data gathering has become an essential part of any business strategy. By collecting and analyzing data, businesses can gain insights into customer behavior, market trends, and industry developments.

Data mining 109

Data mining Big Data Data-driven Measurement 109

Smart Data Collective

MAY 8, 2022

By combining big data and AI together, companies can improve their business performance in the following ways: Analyzing consumer behavior Customer segmentation automation Personalizing marketing campaigns Customer retention and acquisition Intelligent decision support systems powered by AI and big data. Business analytics.

Big Data 122

Big Data Data Analytics Analytics Cost-Benefit 122

Smart Data Collective

OCTOBER 25, 2023

One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. The market for business intelligence technology is projected to exceed $35 billion by 2028. One of them is by helping them improve their social media marketing strategies.

Key Performance Indicator 122

Key Performance Indicator Business Intelligence Data-driven OLAP 122

Smart Data Collective

MARCH 28, 2022

The type of data analytics best suited for a company is decided by its development stage and what type of brand and identity marketing it wishes to implement. Businesses are using sophisticated data analytics solutions with AI capabilities to make advantageous decisions and help discern opportunities and market trends.

Data Analytics 105

Data Analytics Software Analytics Statistics 105

Cloudera

DECEMBER 22, 2017

Data-driven marketing is the new black. As marketers uncover the magnitude of value they can derive from the data at their disposal, they will be faced with a new set of data management-related challenges that can either make or break their quest. Time is of the essence. Humans need a bird’s eye view, too.

Marketing 40

Marketing Data-driven Data Collection Data mining 40

Smart Data Collective

MARCH 24, 2020

They know how to use big data to find the best options available to them. Amazon and many review sites use data mining technology to make it easier for customers to find their preferred products. This means businesses need to up their game and use big data to make their quality products more visible in the market.

Big Data 142

Big Data B2B Data mining Sales 142

CIO Business Intelligence

OCTOBER 26, 2023

This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

FineReport

AUGUST 14, 2020

For popular reporting tools on the market, you can refer to: Best Reporting Tools List in 2020 and How to Choose. Based on the process from data to knowledge, a standard reporting system’s functional architecture is shown below. It is composed of three functional parts: the underlying data, data analysis, and data presentation.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. Partnering with IT companies and hiring dedicated development teams or remote teams are among the ways businesses can best integrate data intelligence into their business.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Data security.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Domino Data Lab

MAY 20, 2021

Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. Data mining for direct marketing: Problems and solutions. 30(2–3), 195–215. link] Ling, C. X., & Li, C. Quinlan, J.

Machine Learning 136

Machine Learning Metrics Data mining Data Science 136

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 52

FineReport

APRIL 20, 2020

Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. Next, let’s talk about the comparison between Crystal Report and FineReport since FineReport has occupied a large market share in the reporting tools area in recent years. Download FineReport.

Reporting 84

Reporting OLAP Dashboards Data mining 84

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining?

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Jet Global

FEBRUARY 9, 2022

2021 Technology Innovation Awards recognize top performers in Wisdom of Crowds® Thematic Market Studies. The annual awards recognize top-ranked vendors from Dresner Advisory Services’ Wisdom of Crowds® thematic market studies, which look at real-world perspectives from end users. Raleigh, N.C.,

Business Intelligence 40

Business Intelligence Analytics Data mining Forecasting 40

Sisense

APRIL 26, 2020

In our modern digital world, proper use of data can play a huge role in a business’s success. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Data lineage features.

Metadata 64

Metadata Data Governance Dashboards Software 64

Occam's Razor

SEPTEMBER 15, 2014

If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. The only reason good old digital is beating TV is mobile. Amazing, right? Tag your mobile website.

Metrics 143

Metrics Reporting Analytics Marketing 143

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. Statistical studies can also assist in the marketing of goods or services, and in understanding each target market’s unique value drivers. 3) Data fishing.

Statistics 363

Statistics Advertising Visualization Data mining 363

datapine

AUGUST 29, 2022

This process often comes with challenges related to scalability, consistency, reliability, efficiency, and maintainability, not to mention dealing with the number of software and technologies available in the market. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated). Technologies used for data ingestion include data connectors, ingestion frameworks, or data collection agents.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52