Smart Data Collective

NOVEMBER 24, 2020

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. The market for business intelligence services is expected to reach $33.5 top 5 key platforms that control the future of business intelligence impacts BI may have on your business in the future.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

TDAN

JULY 21, 2021

In today’s world, access to data is no longer a problem. There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do.

Big Data 145

Big Data Enterprise Modeling Data Architecture 145

FineReport

JULY 1, 2021

Business Intelligence Technologies Overview. With the advancement of technology, it is becoming easier for people to obtain a large amount of data. Therefore, the technical requirements for analyzing data are constantly increasing. Business Intelligence Technologies Lists(with Examples). Data warehouse.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

Smart Data Collective

SEPTEMBER 19, 2022

Big data has led to many important breakthroughs in the Fintech sector. Positive customer experience sits atop the most valuable things critical to the longevity of any business. And Big Data is one such excellent opportunity ! The Role Of Big Data In Fintech. Forecasting Future Market Trends.

Big Data 135

Big Data ROI Measurement Machine Learning 135

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. However, if someone puts you on the spot, can you clearly tell the difference between business intelligence and analytics?

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

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. Create a Quality Website.

Big Data 142

Big Data Marketing Advertising Data-driven 142

Smart Data Collective

AUGUST 4, 2020

The big data market is exploding. Despite the rapid evolution of big data, many small businesses are overlooking its benefits. You should consider the vast benefits of big data and invest in it accordingly. Why Small Businesses Overlook Big Data (And Should Start Embracing it).

Big Data 123

Big Data Marketing Finance Consulting 123

Smart Data Collective

APRIL 15, 2021

Business Intelligence is the practice of collecting and analyzing data and transforming it into useful, actionable information. In order to make good business decisions, leaders need accurate insights into both the market and day-to-day operations. This article aims to outline the process. Pitch to Key Players.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

FineReport

JUNE 24, 2021

Once the data becomes more extensive or more complex, Excel or other simple solutions may “fetter” your potentialities. That’s why business intelligence solutions(BI solutions) come into our minds. Business Intelligence Solutions Definition. Data preparation and data processing.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Analytics Vidhya

DECEMBER 23, 2022

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction In today’s digital world, data is generated at a swift pace. Data in itself is not useful unless we present it in a meaningful way and derive insights that help in making key business decisions.

Visualization 225

Visualization Business Intelligence Data Science Publishing 225

Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction First of all, we are surrounded by data in day-to-day. The post Data Engineering – Concepts and Importance appeared first on Analytics Vidhya.

Data Science 333

Data Science Publishing Analytics Business Intelligence 333

datapine

JULY 1, 2020

quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes. In this day and age, a failure to leverage digital data to your advantage could prove disastrous to your business – it’s akin to walking down a busy street wearing a blindfold.

Reporting 260

Reporting Dashboards Cost-Benefit Visualization 260

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. However, if someone puts you on the spot, can you clearly tell the difference between business intelligence and analytics?

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

Smart Data Collective

DECEMBER 11, 2019

In 2013, Wired published a very interesting article about the role of big data in the field of integrated business systems. Kobielus points out that every vertical is finding ways to use big data to improve its competitive advantages. These new systems make data collection far more efficient.

Big Data 77

Big Data Cost-Benefit Software Risk 77

TDAN

JANUARY 3, 2023

Now more than ever, companies live and die not only on the strength of their data, but also on its application. In other words, it’s not just about collecting the right data in the right quantities, but it’s also about managing, storing, and using that data properly. Yes, Big […]. Ours truly is the information age.

Big Data 98

Big Data Management IT Business Intelligence 98

Juice Analytics

MAY 11, 2020

Dresner Advisory Services’ report about self-service business intelligence uncovered a surprising result. Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative.

Reporting 134

Reporting Analytics IT Data Lake 134

Smart Data Collective

DECEMBER 22, 2021

Big data technology has become an invaluable asset to so many organizations around the world. There are a lot of benefits of utilizing data technology, such as improving financial reporting, forecasting marketing trends and efficient human resource allocation. Big Data is Crucial for Companies in All Industries.

Big Data 141

Big Data Forecasting Data-driven ROI 141

datapine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

Data Quality 241

Data Quality Metrics Data-driven Management 241

TDAN

SEPTEMBER 17, 2019

Did you know that 90% of all data has been generated over the last 2 years? Big Data has been an important topic in the marketing scene for quite some time. It has been a major challenge for Chief Marketing Officers (CMOs) because it’s not easy to organize and extract useful insights from massive amounts of […].

Big Data 68

Big Data Marketing Data Architecture IT 68

FineReport

JULY 22, 2021

What is business intelligence?. Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. BI Interface (by FineReport).

Business Intelligence 52

Business Intelligence Sales Forecasting Marketing 52

datapine

OCTOBER 17, 2019

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. By the end of this article, making stunning and useful managerial reports will be second nature to you. But before we get into the nitty-gritty, let’s give you a bit of background.

Reporting 263

Reporting Management Dashboards KPI 263

datapine

MAY 11, 2022

Digital data not only provides astute insights into critical elements of your business but if presented in an inspiring, digestible, and logical format, it can tell a tale that everyone within the organization can get behind. Data visualization methods refer to the creation of graphical representations of information.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

datapine

DECEMBER 11, 2019

It’s also popular amongst businesses for its simplicity and user accessibility, security, and the widespread connectivity that serves to streamline business models, resulting in maximum efficiency across the board. With a new year on the horizon, in this article, we’ll explore 10 essential SaaS trends that will stand out in 2020.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

TDAN

MARCH 31, 2020

Big data has been one of the most discussed topics of the last few years. Since the term “big data” was introduced in the 1940s, technologies have developed and now we live in a world that depends on data. We produce data all the time, and […]. However, this term has been around for a while.

Big Data 59

Big Data Technology Data Strategy Business Intelligence 59

Rocket-Powered Data Science

JULY 7, 2019

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). 5) Big Data Exploration. Examples: Cars, Trucks, Taxis. Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

TDAN

JULY 18, 2023

Businesses today rely on real-time big data analytics to handle the vast and complex clusters of datasets. Here’s the state of big data today: The forecasted market value of big data will reach $650 billion by 2029.

Big Data 52

Big Data Data Analytics Analytics Forecasting 52

TDAN

JULY 2, 2019

No doubt, every organization requires valuable data to understand the needs and preferences of their customers and target audience. If you are operating a business, then you may also know the importance of big data. The data needs to be properly presented and analyzed.

Big Data 58

Big Data Data Strategy Business Intelligence Strategy 58

TDAN

APRIL 19, 2022

Consumers’ digital footprint is increasing in the personalized era of Advertising and Marketing, and Big Data Analytics will help businesses achieve high customer retention rate. Big data has become a buzzword in today’s competitive era. Recent advancements in big data technology […].

Advertising 52

Advertising Big Data Data Analytics Analytics 52

Smart Data Collective

DECEMBER 2, 2020

Such a tool provides designers with a more feasible way to create a visual representation of large sets of data. Dealing with big data sets requires automation of arrangement of given data is a vast help for data visualization designers. Check out this article. IBM Data Refinery. It has earned 4.5

Interactive 121

Interactive Visualization Big Data Internet of Things 121

TDAN

AUGUST 16, 2022

Big data and data analytics have become widely popular across nearly every industry. The information companies and organizations can gather from user data allow them to make improvements to how they operate and the services they provide to benefit their customers.

Big Data 52

Big Data Data Analytics Analytics Business Intelligence 52

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! Data also can’t replace your creativity, your style, and your passion for your business. Here’s the thing: data isn’t meant to “replace” anything.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Smart Data Collective

APRIL 3, 2022

There is no doubt that big data is important in many organizations. Over 65% of large companies invested over $50 million in big data in 2020. You are talking about data, sure, but what kind of data ? Finding the right data sets and knowing how to use them is key to any data implementation strategy.

Big Data 123

Big Data Marketing Strategy Sales 123

FineReport

APRIL 26, 2023

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

FineReport

DECEMBER 9, 2021

Business intelligence strategy is seen as a roadmap designed to help companies measure their performance and strengthen their performance through architecture and solutions. A competent business intelligence strategy should bring companies incomparable competitive advantages. Build a business intelligence roadmap.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

FineReport

DECEMBER 11, 2019

In the past few years, the term “data science” has been widely used, and people seem to see it in every field. Big Data”, “Business Intelligence”, “ Data Analysis ” and “ Artificial Intelligence ” came into being. For a while, everyone seems to have begun to learn data analysis. From Google.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Dataiku

DECEMBER 29, 2021

They believe they need to have conquered traditional or business intelligence (BI) analytics first, including data catalogs, data lineage, master data management, big data, etc. before planning for AI. While this conventional thinking has merits, it results in high opportunity costs and carries risks.

Business Intelligence 69

Business Intelligence Big Data Risk Management 69