CIO Business Intelligence

APRIL 24, 2025

Software providers are already bringing corresponding applications to market. On the other hand, self-developed, customized AI agents can be precisely adapted to the specific business context and thus offer the potential for real differentiation in the market. Data layer: Divided into unstructured and structured data.

Enterprise 125

Enterprise Sales Cost-Benefit B2B 125

CIO Business Intelligence

NOVEMBER 22, 2024

The airliner, which competes against Qatar Airlines, is counting on agentic AI and the LLM to elevate its bookings and expand its share of the growing market, she said, adding that the six-month-old model has attracted 3 million visitors and has handled some bookings, but its value is far more strategic.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

CIO Business Intelligence

FEBRUARY 6, 2025

Imagine generating complex narratives from data visualizations or using conversational BI tools that respond to your queries in real time. In retail, they can personalize recommendations and optimize marketing campaigns. While this process is complex and data-intensive, it relies on structured data and established statistical methods.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Analytics Vidhya

NOVEMBER 1, 2020

This article was published as a part of the Data Science Blogathon. “To win in the market place you must win in the workplace” The post Employee Attrition Analysis using Logistic Regression with R appeared first on Analytics Vidhya.

Data Science 300

Data Science Publishing Marketing Analytics 300

DataRobot Blog

JANUARY 17, 2023

Peek into our conversation to learn when machine learning does—and doesn’t—work well in financial markets use cases. TRACE, Asian bond market reporting, ECNs’ trade history) as well as a clear set of more liquid assets which can be used as predictors (e.g., more liquid credits, bond futures, swaps markets, etc.).

Machine Learning 87

Machine Learning Marketing Experimentation Data-driven 87

Analytics Vidhya

OCTOBER 6, 2020

Introduction The motivation behind This article comes from the combination of passion(about stock markets) and love for algorithms. Who doesn’t love to make money. The post Bajaj Finance Stock Price Prediction in Python appeared first on Analytics Vidhya.

Finance 271

Finance Marketing Analytics Structured Data 271

Analytics Vidhya

JUNE 1, 2021

ArticleVideo Book Introduction “Data is the new oil” is a common saying nowadays in the areas of marketing, medical science, economics, finance, any research. The post Data Analysis- Exploring New Oil with Python! appeared first on Analytics Vidhya.

Finance 264

Finance Marketing Analytics Structured Data 264

datapine

MAY 27, 2020

A marketing agency can decide to allocate their budget differently after the team has seen that the most traffic comes from a different source of the invested budget. Applications of these kinds of reports are different, and, therefore, the writing style and generating data is distinctive in every industry.

Reporting 245

Reporting Analytics Dashboards Sales 245

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 135

Data Lake Data Warehouse Unstructured Data Big Data 135

CIO Business Intelligence

JULY 16, 2024

By John Laffey, VP, Product Marketing, DataStax. And you might know that getting accurate, relevant responses from generative AI (genAI) applications requires the use of your most important asset: your data. But how do you get your data AI-ready? You might think the first question to ask is “What data do I need?”

Unstructured Data 105

Unstructured Data Structured Data Machine Learning Enterprise 105

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. Plan successful marketing activities. Learn here!

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

CIO Business Intelligence

MAY 10, 2022

A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. Customer data platform benefits. Customer data platform vendors. Types of CDPs. billion in 2022 to $6.94

Advertising 122

Advertising Interactive Marketing Structured Data 122

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. Fintech in particular is being heavily affected by big data. The financial sector receives, processes, and generates huge amounts of data every second.

Finance 130

Finance Unstructured Data Cost-Benefit Big Data 130

CIO Business Intelligence

MARCH 21, 2022

The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data. The more high-quality data available to data scientists, the more parameters they can include in a given model, and the more data they will have on hand for training their models.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

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

AWS Big Data

JANUARY 15, 2025

This agility accelerates EUROGATEs insight generation, keeping decision-making aligned with current data. Additionally, daily ETL transformations through AWS Glue ensure high-quality, structured data for ML, enabling efficient model training and predictive analytics.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

APRIL 14, 2022

Some DaaS vendors emphasize the ability of their tools to manage information, analyze the data, create reports, and support decision making. Others push the data itself, knowing that having too much data is like being too rich or too thin. Streetlight Data. Informatica. Oracle DaaS.

Enterprise 138

Enterprise Marketing Measurement Reporting 138

CIO Business Intelligence

OCTOBER 2, 2024

Technology leaders want to harness the power of their data to gain intelligence about what their customers want and how they want it. This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 billion by 2030. Interactions give the “why.”

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

CIO Business Intelligence

AUGUST 21, 2024

Gartner estimates unstructured content makes up 80% to 90% of all new data and is growing three times faster than structured data 1. The ability to effectively wrangle all that data can have a profound, positive impact on numerous document-intensive processes across enterprises.

Insurance 122

Insurance Unstructured Data Structured Data Enterprise 122

CIO Business Intelligence

MARCH 29, 2024

“Generative AI is becoming the virtual knowledge worker with the ability to connect different data points, summarize and synthesize insights in seconds, allowing us to focus on more high-value-add tasks,” says Ritu Jyoti, group vice president of worldwide AI and automation market research and advisory services at IDC. “It

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

AUGUST 18, 2022

In the case of the Databricks Delta Lake lakehouse, structured data from a data warehouse is typically added to a data lake. To that, the lakehouse adds layers of optimization to make the data more broadly consumable for gathering insights. You can intuitively query the data from the data lake.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

David Menninger's Analyst Perspectives

SEPTEMBER 19, 2024

Natural language search and query are amongst the most popular early use cases for GenAI, with 99% of participants in the ISG Market Lens AI Study having seen positive outcomes from natural language search and 97% having seen positive outcomes from the interpretation of data.

Data Warehouse 130

Data Warehouse Data Science Modeling Data Governance 130

CIO Business Intelligence

JUNE 13, 2024

A data analyst might help an organization better understand how its customers use its product in the present moment — what works and doesn’t work for them, whereas a data scientist might use the insights generated from that work to help design a new product that anticipates future customer needs.

Data-driven 98

Data-driven Statistics Business Intelligence Data Collection 98

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 115

Data Warehouse Data Lake Cost-Benefit Structured Data 115

datapine

AUGUST 20, 2019

Large streams of data generated via myriad sources can be of various types. Here are some of them: Marketing data: This type of data includes data generated from market segmentation, prospect targeting, prospect contact lists, web traffic data, website log data, etc.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

CIO Business Intelligence

APRIL 26, 2024

The information and insights company’s foundation remains ensuring that every consumer is accurately represented in the market. billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services.

Modeling 114

Modeling IT Machine Learning Data Governance 114

Juice Analytics

MARCH 27, 2021

The Challenge Let’s say you need to produce the same presentation month after month, updating the data each time. Or maybe you have a set of slides that need to go to a bunch of different audiences each with their own specific market, product, business line, or industry. Try Juicebox -- It's Free!

Reporting 122

Reporting Visualization Interactive Data-driven 122

Sisense

JULY 22, 2020

Every organization generates and gathers data, both internally and from external sources. The data takes many formats and covers all areas of the organization’s business (sales, marketing, payroll, production, logistics, etc.) External data sources include partners, customers, potential leads, etc.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

AWS Big Data

JANUARY 6, 2025

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. For this demo, you can upload the Nation Market segment file to your Google sheet before proceeding to the next steps.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

CIO Business Intelligence

MAY 21, 2024

Multimodal foundation models combine multiple modes, such as text, audio, image, and video, and are capable of generating captions for images or answering questions about images, according to IDC’s Market Glance: Generative Foundation AI Models.

IT 131

IT Cost-Benefit Experimentation Forecasting 131

CIO Business Intelligence

JANUARY 24, 2024

Undervaluing unstructured data Much of the data organizations accumulate is unstructured, whether it’s text, video, audio, social media, images, or other formats. These information resources can hold enormous value for enterprises , enabling them to gain new insights about customers and market trends.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Cloudera

JULY 26, 2021

In their seminal work on Data Product Development, MIT academics Meyer and Zack had advocated that a well-designed and executed platform approach “ enables a company to create new versions of its products rapidly and efficiently to respond to or anticipate changing market needs”.

Strategy 119

Strategy Data Science Unstructured Data Marketing 119

CIO Business Intelligence

JULY 28, 2023

To date, JLL has been developing classic AI models using cleaned and structured data in table format, Morin says. Currently, the company’s IT experts train algorithms to extract the most structured data on its leases; this data is then fed into the AI model.

Structured Data 98

Structured Data Data-driven Software Modeling 98

CIO Business Intelligence

JUNE 28, 2022

Text by itself doesn’t have much structure to begin with, but when you’ve got a pile of text written by hundreds or thousands of employees over dozens of years, then whatever structure there is might be even weaker. Even structured data is often unstructured. The same fate often awaits other clever schemes.

Management 138

Management Internet of Things Statistics Data Science 138

CIO Business Intelligence

NOVEMBER 14, 2022

Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help. They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. ERP dashboards. Model-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144