Smart Data Collective

FEBRUARY 2, 2021

Big Data is more than a trend or a buzzword. In 2020, the size of the global Big Data market reached 56 billion, and it’s on track to exceed 103 billion by 2027. Consumers are generating huge amounts of data at a rapid rate, and it is estimated that up to 90% of all data was generated only in the past two years.

Big Data 85

Big Data Recreation/Entertainment Cost-Benefit Finance 85

Smart Data Collective

SEPTEMBER 26, 2019

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. What is Software Development?

Big Data 80

Big Data Software Unstructured Data Data Integration 80

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

Smart Data Collective

OCTOBER 3, 2019

Big data is playing a vital role in the evolution of small business. A compilation of research from the G2 Learning Hub Shows the number of businesses relying on big data is rising. They cited one study showing that 40% of businesses need to use unstructured data on a nearly daily basis.

Data-driven 79

Data-driven Marketing Big Data Machine Learning 79

Smart Data Collective

SEPTEMBER 16, 2022

The market was worth over $112 billion last year. While the market is growing and creating more opportunities for fintech entrepreneurs, the stakes are also higher than ever. They are using big data technology to offer even bigger benefits to their fintech customers. Among them are distinguished: Structured data.

Finance 118

Finance Unstructured Data Cost-Benefit Big Data 118

Smart Data Collective

DECEMBER 14, 2019

This is slowly changing with the emergence of AI and big data to solve these challenges. In this post, we’re going to take a closer look at AI and big data and how they can transform the customer journey. What is Big Data? How Do AI and Big Data Help in the Customer Journey? What is AI?

Big Data 66

Big Data Cost-Benefit B2B Sales 66

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

CIO Business Intelligence

MAY 10, 2024

If you have experience in any of these 10 skills, it might be worth upskilling to expert proficiency to gain a competitive edge in the market. NoSQL NoSQL is a type of distributed database design that enables users to store and query data without relying on traditional structures often found in relational databases.

IT 130

IT Unstructured Data Software Reporting 130

Smart Data Collective

MARCH 30, 2021

A data-driven approach allows companies of any scale to develop SEO and marketing strategies based not on the opinion of individual marketers but on real statistics. Data-driven SEO and marketing activities leave no space for bad shots. The results obtained often came as surprises for the marketers themselves.

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Data-driven Sales Big Data Marketing 92

Occam's Razor

MARCH 12, 2012

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. No one quite knows.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

IBM Big Data Hub

MAY 19, 2023

The rapid growth of global web-based ERP solution providers The global cloud ERP market is expected to grow at a CAGR of 15%, from USD 64.7 Small and midsize enterprises (SMEs) are the fastest-growing segment in the market due to reliability, scalability, integration, flexibility and improved productivity. billion in 2022 to USD 130.0

Unstructured Data 81

Unstructured Data Data Processing Manufacturing Data Lake 81

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

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Smart Data Collective

NOVEMBER 16, 2021

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

Analytics 121

Analytics Unstructured Data Data Collection Software 121

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.

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Unstructured Data Data Lake Metadata Business Objectives 52

Smart Data Collective

AUGUST 30, 2022

The market for cloud technology is booming. Big data analytics. The amount of data in today’s world is growing exponentially, and cloud computing provides excellent tools that analyze large volumes of information and carry out marketing segmentation.

Technology 135

Technology Enterprise Cost-Benefit Testing 135

Smart Data Collective

MARCH 17, 2020

The global demand for big data is surging. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming.

Data Science 97

Data Science Big Data Machine Learning Statistics 97

IBM Big Data Hub

APRIL 16, 2024

Also, Db2 seamlessly integrates with watsonx Assistant’s natural language processing capabilities to analyze unstructured data and derive insights. The use of the Db2 database and rapid deployment facilitated swift adaptation to evolving market demands.

Unstructured Data 88

Unstructured Data Data-driven Enterprise Technology 88

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 52

Data Integration IoT Cost-Benefit Data Quality 52

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

Smart Data Collective

FEBRUARY 3, 2021

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 However, the impact of big data on the stock market is likely to be even greater. What Impact Is Big Data Having Towards Investing?

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Big Data Marketing Data Analytics Analytics 140

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices.

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Unstructured Data Consulting Visualization IoT 80

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Many stock market transactions use ML with decades of stock market data to forecast trends and ultimately suggest whether and when to buy or sell.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

IBM Big Data Hub

OCTOBER 30, 2023

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. AWS’s secure and scalable environment ensures data integrity while providing the computational power needed for advanced analytics.

Insurance 86

Insurance Data Warehouse Data-driven Unstructured Data 86

Cloudera

DECEMBER 7, 2020

Personalized Interactions Driven by Data. Successful retailers are leveraging customer profiles that produce higher customer engagement results and reduced marketing costs by delivering targeted, relevant, contextual content and recommendations. customer digital interactions annually, this was truly a ‘big data’ opportunity.

Cost-Benefit 63

Cost-Benefit Interactive Unstructured Data Big Data 63

IBM Big Data Hub

DECEMBER 19, 2023

It could also just be a sign that a particular marketing initiative is working. Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. However, data scientists should monitor results gathered through unsupervised learning.

Machine Learning 72

Machine Learning Optimization Unstructured Data Sales 72

Jet Global

NOVEMBER 5, 2020

The company’s market power is based largely on its ability to promote the “stack”—that is, to position the entire suite of Microsoft products as a holistic solution to customer problems. Data lakes are not a mature technology. They are designed for enormous volumes of information, including semi-structured and unstructured data.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

CIO Business Intelligence

JULY 26, 2023

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. Finally, the IT team developed a digital market center that offers event management as well as training and education content.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

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.

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

Smart Data Collective

NOVEMBER 25, 2019

Just as companies are becoming more aware of the value of data, so are hackers — and as a result, the frequency and cost of data breaches are beginning to skyrocket. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

Business Intelligence 103

Business Intelligence Predictive Analytics Data Collection Internet of Things 103

Smart Data Collective

APRIL 5, 2022

Although SageMaker has become a popular hardware accelerator since it was launched in 2017, there are plenty of other overlooked hardware accelerators on the market. If you want to streamline various parts of the data science development process, then you should be aware of all of your options. However, it does have some downsides.

Cost-Benefit 124

Cost-Benefit Machine Learning Data Science Unstructured Data 124

FineReport

JULY 1, 2021

BI technology is a series of technologies that can handle a large amount of structured and sometimes unstructured data. Their purpose is to help identify, develop and otherwise tap the value of big data and create opportunities for new strategic businesses. Let us enter the topic and define what BI technology is.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

AWS Big Data

JANUARY 8, 2024

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 109

Analytics IoT Data-driven Snapshot 109

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” Getting the most from qualitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Jet Global

OCTOBER 30, 2020

Microsoft’s next option is called Azure Data Lake Services (ADLS), and it seems to be the company’s favored long-term solution to its D365 F&SCM reporting challenge. Data lake” is a generic term that refers to a fairly new development in the world of big data analytics. What are unstructured data?

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52