Smart Data Collective

JUNE 30, 2022

Modern marketing strategies rely heavily on big data. One study found that retailers that use big data have 2.7 Big data is even more important for companies that depend on social media marketing. His statement about the importance of big data in social media marketing is even more true today.

Data-driven 111

Data-driven Marketing Strategy Big Data 111

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. One benefit is that they can help with conversion rate optimization. Heatmaps are powerful visual tools help show where website visitors pay the most attention.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

Smart Data Collective

JUNE 29, 2022

Big data technology is leading to a lot of changes in the field of marketing. A growing number of marketers are exploring the benefits of big data as they strive to improve their branding and outreach strategies. Email marketing is one of the disciplines that has been heavily touched by big data. Always Provide Value.

B2B 107

B2B Data-driven Marketing Strategy 107

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

Smart Data Collective

AUGUST 8, 2021

Big data has been a crucial aspect of modern SEO. There are a number of new ranking factors that Google depends on, which means that using data analytics and AI technology can help immensely. Utilizing Big Data in Your Technical SEO Strategy. Big data can be very useful when it comes to internal linking. Internal linking.

Data-driven 76

Data-driven Big Data Machine Learning Strategy 76

Smart Data Collective

JUNE 3, 2022

In other words, they are responsible for ensuring that the product created is optimized exclusively for the user. In essence, this means that they can replicate a product in an AI-driven ecosystem. They can also use AI for predictive maintenance and to optimize the assembly process. Product Designer Vs UX Designer: Similarities!

Optimization 101

Optimization Cost-Benefit Testing Data-driven 101

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

OCTOBER 21, 2020

The concept of email marketing predates the big data phenomenon by at least 20 years. However, data-driven insights have clearly played a profound role in the future of email marketing. Companies need to find new ways to use big data to embrace new email strategies. The Evolution of Email in the Age of Big Data.

Data-driven 82

Data-driven Big Data Metrics Machine Learning 82

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smart Data Collective

JULY 7, 2021

It is impossible to create an effective social media marketing strategy without utilizing big data analytics effectively. You need to learn how to use big data and social analytics with your marketing strategy. Why is Data Analytics the Basis for a Solid Social Media Strategy? No business can afford to be without it.

Marketing 128

Marketing Strategy Optimization Analytics 128

Sisense

DECEMBER 30, 2019

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. A well-constructed and organized dashboard empowers users to make better data-driven decisions. In this very visual post, we’ll discuss the elements that make or break a dashboard and dissect two examples.

Dashboards 89

Dashboards Visualization Metrics Contextual Data 89

DataRobot Blog

MAY 18, 2022

This blog post will demonstrate how the DataRobot team applied DataRobot’s Visual AI and AutoML capabilities to rapidly build models capable of detecting firearms in bags using open-source databases of X-ray security scans. This data deficiency can cause the model to fail to recognize the target object (e.g., Conclusion. Learn more.

Visualization 52

Visualization Modeling Data-driven Optimization 52

IBM Big Data Hub

AUGUST 7, 2023

Failure to share data and results from randomized clinical trials means a missed opportunity to contribute to systematic reviews and meta-analyses as well as a lack of lesson-sharing with the biopharma community. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 60

Optimization Forecasting Data-driven Strategy 60

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

BizAcuity

JULY 13, 2021

Artificial Intelligence impersonates human intelligence using various algorithms to collect data and improve performance with data compliance over some time. For the mass of collected data that AI technology can process and use, the customer’s habits are known.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

datapine

JUNE 5, 2019

“It is a capital mistake to theorize before one has data.”– Data is all around us. Data has changed our lives in many ways, helping to improve the processes, initiatives, and innovations of organizations across sectors through the power of insight. Let’s kick things off by asking the question: what is a data dashboard?

Dashboards 316

Dashboards KPI Sales Visualization 316

Smart Data Collective

APRIL 14, 2023

Big data technology has had a number of important benefits for businesses in all industries. One of the biggest advantages is that big data helps companies utilize business intelligence. It is one of the biggest reasons that the market for big data is projected to be worth $273 billion by 2026.

Business Intelligence 83

Business Intelligence Strategy Data-driven Visualization 83

datapine

OCTOBER 7, 2020

Using data in today’s businesses is crucial to evaluate success and gather insights needed for a sustainable company. By establishing clear operational metrics and evaluate performance, companies have the advantage of using what is crucial to stay competitive in the market, and that’s data.

KPI 269

KPI Metrics Sales Visualization 269

Jet Global

FEBRUARY 11, 2020

Optimizing Finance Technology – Finance teams need to extract more value from the ERP while embracing newer technologies and preparing to become more tech-driven. Data Visualizations: Past and Present. For as long as there has been data, there has likely been some form of data visualization.

Visualization 61

Visualization Finance Reporting Data-driven 61

datapine

JULY 8, 2020

Moreover, companies are becoming more data-driven, complex, and require stable performance in order to succeed in our cutthroat digital age. Such a real-time dashboard ensures productivity increment and centralized data collection that enables executives to overcome numerous operational challenges within their line of work.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

datapine

JANUARY 28, 2020

The ability to monitor, visualize, and analyze relevant data gives today’s businesses, across a host of sectors, the power to understand their prospects, make informed decisions, increase efficiencies, and work towards a set of rewarding long term goals.

Dashboards 199

Dashboards KPI Cost-Benefit Metrics 199

datapine

AUGUST 19, 2020

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

datapine

JUNE 27, 2019

And to gain greater vision, you need to embrace the power of digital data. By leveraging smart online data analysis in the right way, you will gain access to insights that will help you develop strategies that foster growth and innovation while keeping your staff motivated, engaged, and happy. Wider accessibility to important data.

Dashboards 245

Dashboards Sales Cost-Benefit Visualization 245

IBM Big Data Hub

FEBRUARY 8, 2022

So, we needed a good data system to track all these things.” Solving the data dilemma — fast and accurate capture, reporting and interpretation. Data capture and the subsequent reporting were not easy for Kai Ming. Tracking the scope of these attributes is yet another factor in data capture, reporting and analytics.

Data-driven 56

Data-driven Analytics Reporting Dashboards 56

Smart Data Collective

OCTOBER 15, 2021

Big data technology has been a highly valuable asset for many companies around the world. Countless companies are utilizing big data to improve many aspects of their business. Some of the best applications of data analytics and AI technology has been in the field of marketing. Data-Driven Marketing is More Important than Ever.

Big Data 139

Big Data Marketing Advertising Data-driven 139

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 111

Analytics IoT Data-driven Snapshot 111

datapine

JULY 31, 2019

In a data-driven age, modern organizations need access to advanced data analytics solutions to help them improve the business in a wealth of key areas—Salesforce is one of those solutions. First, let’s take a moment to understand the role of Salesforce reports in the business world. So, what tools do we use for Salesforce?

Reporting 160

Reporting Dashboards KPI Sales 160

Smart Data Collective

AUGUST 23, 2020

Big data has led to a number of changes in the digital marketing profession. The market for big data analytics in business services is expected to reach $274 billion by 2022. A large portion of this growth is attributed to the need for big data in the marketing field. Big data is becoming more important to modern SEO strategies.

Data-driven 85

Data-driven Strategy Big Data Marketing 85

CIO Business Intelligence

OCTOBER 25, 2023

Our recent data analysis of AI/ML trends and usage confirms this: enterprises across industries have substantially increased their use of generative AI, across many kinds of AI tools. Once shared, this data can be fed into the data lakes used to train large language models (LLMs) and can be discovered by other users.

Enterprise 133

Enterprise Risk Manufacturing Finance 133

CIO Business Intelligence

SEPTEMBER 19, 2023

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. For other companies, AI use in customer service has also been driven by consumer’s increased expectations.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Smart Data Collective

MAY 11, 2023

Since the launch of Smart Data Collective, we have talked at length about the benefits of AI for mobile technology. AI apps can gather data by analyzing user behavior and interaction. In this blog post, we will explore how AI-driven app development strategies can help your e-commerce business stay ahead in the mobile-first world.

Cost-Benefit 98

Cost-Benefit Optimization Data-driven Marketing 98

Smarten

MARCH 28, 2024

Offering your business users mobile BI ensures that your team can be more productive and collaborative and that you do not sacrifice data-driven, fact-based decisions when your team is out of the office. Dashboards or Reports designed for the desktop are displayed and optimized for the best user experience on the mobile device.

Dashboards 67

Dashboards Visualization Reporting Data-driven 67

datapine

MARCH 11, 2020

As digital transformation evolves, and more businesses begin to harness the power of digital technologies, the rate at which we are creating data is rising by the second. As such, we have to find approaches to data analytics and business intelligence. It’s the art of using live dashboards to respond to data promptly.

Business Intelligence 165

Business Intelligence Analytics Dashboards Visualization 165

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52