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

JUNE 7, 2019

This is where real-time stream processing enters the picture, and it may probably change everything you know about big data. Read this article as we’ll tackle what big data and stream processing are. We’ll also deal with how big data stream processing can help new emerging markets in the world.

Big Data 80

Big Data Marketing Cost-Benefit Unstructured Data 80

Smart Data Collective

SEPTEMBER 16, 2022

They are using big data technology to offer even bigger benefits to their fintech customers. In this article, we will look at the main trends in the field of fintech development services for 2022. Speaking of global fintech trends, one cannot fail to mention Big Data. Among them are distinguished: Structured data.

Finance 114

Finance Unstructured Data Cost-Benefit Big Data 114

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. A Final Word.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

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. This will be elaborated on in the third part of this article. Try FineReport Now 1.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Smart Data Collective

OCTOBER 20, 2020

Companies need to use big data technology to effectively identify their target audience and reliably reach them. Big data should be leveraged to execute any GTM campaign. Christian Welborn recently published an article on taking a data-driven approach to GTM. There is no need to hire expensive data analysts.

Marketing 106

Marketing Data Analytics Analytics Big Data 106

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. They aren’t alone.

Data-driven 78

Data-driven Marketing Big Data Machine Learning 78

FineReport

JULY 1, 2021

Therefore, the technical requirements for analyzing data are constantly increasing. This article will systematically introduce the definition of BI technology, the technology list and provide technology examples and tool recommendations. Here I list some previous articles for your appetite. BI Technology Meaning. Free Download.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

IBM Big Data Hub

OCTOBER 12, 2022

Every football season, millions of articles, blog posts, podcasts and videos are produced by the media, offering expert analysis on everything from player performance to injury reports. To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football.

Unstructured Data 87

Unstructured Data Consulting Statistics Data-driven 87

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

Smart Data Collective

JUNE 3, 2019

In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. Big Data’s promise of value in the financial services industry is particularly differentiating. Customer-focused analysis dominates Big Data initiatives.

Big Data 73

Big Data Cost-Benefit Unstructured Data Risk 73

IBM Big Data Hub

OCTOBER 3, 2023

And this year, ESPN Fantasy Football is using AI models built with watsonx to provide 11 million fantasy managers with a data-rich, AI-infused experience that transcends traditional statistics. In fantasy football, success hinges on decisions fueled by information and insights.

Modeling 96

Modeling Statistics Consulting Unstructured Data 96

Jet Global

OCTOBER 30, 2020

In this article, we will examine some of the key changes of which you need to be aware in a way that will enable you to find some common ground with the technical experts in the IT department or the consultants who are helping you to migrate. Data lakes are oriented toward unstructured data and artificial intelligence.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Smart Data Collective

MARCH 24, 2020

According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. Now it has become so popular that you can even get data structure assignment help from professionals. Big Data Internal Impact. Student Model Based on Big Data.

Big Data 100

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 100

IBM Big Data Hub

DECEMBER 4, 2023

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.

Insurance 56

Insurance Digital Transformation Risk Management Risk 56

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

Sisense

MAY 4, 2020

Every company is a data company. Sisense CEO, Amir Orad, has said that every company is a data and analytics company or must become one soon. According to an Accenture study, 79 percent of enterprise executives say that not embracing Big Data will cause companies to lose competitive position and risk extinction.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

IBM Big Data Hub

JANUARY 10, 2024

AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended. In order to “teach” a program new information, the programmer must manually add new data or adjust processes.

Unstructured Data 83

Unstructured Data Deep Learning Cost-Benefit Modeling 83

IBM Big Data Hub

AUGUST 17, 2023

Structured historical data about every player is combined with an analysis of unstructured data (language and sentiment derived from millions of news articles about athletes in the tournament), using watsonx.data and watsonx.ai. million data points are captured, drawn from every shot of every match.

Unstructured Data 95

Unstructured Data Statistics Consulting Enterprise 95

FineReport

JUNE 24, 2021

Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data. BI software solutions often support multiple data source connections. Another example is how NIKE used FineReport to analyze big data in their retail store in China.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

IBM Big Data Hub

JULY 6, 2023

It can ingest unstructured data in its raw form (e.g., As we generate more big data, data scientists will use more machine learning. The primary difference between machine learning and deep learning is how each algorithm learns and how much data each type of algorithm uses.

Deep Learning 62

Deep Learning Machine Learning Unstructured Data Modeling 62

IBM Big Data Hub

DECEMBER 1, 2023

To achieve digital transformation with AI, insurance companies need to get a good understanding of structured and unstructured data, organize it, manage it in a secure manner (while complying with industry regulations) and enable instant access to the “right” data.

Insurance 107

Insurance Digital Transformation Unstructured Data Risk 107

IBM Big Data Hub

AUGUST 16, 2022

This process begins with solid and reliable data. At the US Open, this comprises a massive volume of structured and unstructured data from a wide variety of sources: Data on 128 men and 128 women players, including age, height, weight, tour ranking and recent performance.

Statistics 110

Statistics Unstructured Data Machine Learning Consulting 110

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? We have been able to combine datasets that we didn’t combine before.”

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Smart Data Collective

JULY 31, 2022

Annie Qureshi wrote an article for DataFloq that talked about the benefits of using predictive analytics for Forex valuations, which includes forecasting the value of the euro. Fortunately, predictive analytics tools could help traders anticipate the future value of the euro.

Predictive Analytics 132

Predictive Analytics Analytics Uncertainty Forecasting 132

IBM Big Data Hub

AUGUST 17, 2023

Derived from a combination of structured and unstructured data (with large language models facilitated by watsonx ), AI Draw Analysis ranks every player’s draw on a favorability scale, shows a measure of advantage or disadvantage and lets fans explore these measures across all possible matchups as players progress through the tournament.

Consulting 55

Consulting Digital Transformation Recreation/Entertainment Unstructured Data 55

Sisense

MAY 11, 2021

According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! With that much data flowing into analytics systems, the right data model is vital to helping your users derive actionable intelligence from them. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Cloudera

AUGUST 20, 2021

Legal and Regulatory Requirements: CDP delivers data products to address complex and continuously evolving legal and regulatory requirements by offering a programmatic way to dynamically manage data permissions at a granular level by type of data asset and for different roles / users interacting with and manipulating those data assets. .

Strategy 94

Strategy Cost-Benefit Visualization Data Warehouse 94

Sisense

JUNE 26, 2020

Machine learning and advanced analytics are helping humans make sense of large amounts of structured and unstructured data by leaning into our natural ability to make a better sense of visuals than the raw data we want to understand. In our modern digital world, we have huge amounts of data all around us.

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97

FineReport

FEBRUARY 5, 2020

Both the investment community and the IT circle are paying close attention to big data and business intelligence. If you want to learn more about chart types, this article is for your reference: Top 16 Types of Chart in Data Visualization. Nowadays, the business intelligence market is heating up. Support mobile display.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Alation

AUGUST 4, 2022

It’s been one decade since the “ Big Data Era ” began (and to much acclaim!). Analysts asked, What if we could manage massive volumes and varieties of data? Yet the question remains: How much value have organizations derived from big data? Big Data as an Enabler of Digital Transformation.

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95

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

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Instead, what we really need is for our business to run at the speed of data. Source: [link] I will finish with three quotes.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

datapine

DECEMBER 4, 2019

We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Predictive & Prescriptive Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Smart Data Collective

MARCH 16, 2020

He should elaborate more on the benefits of big data and deep learning. A lot of big data experts argue that deep learning is key to controlling costs. Health IT Analytics wrote an article on the cost benefits of using big data in healthcare. This will be essential for all countries.

Deep Learning 79

Deep Learning Unstructured Data Cost-Benefit Big Data 79