Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Unstructured. Unstructured data lacks a specific format or structure.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

datapine

JUNE 5, 2019

Exclusive Bonus Content: Ready to make analytics straightforward? Learn all about data dashboards with our executive bite-sized summary! What Is A Data Dashboard? Online dashboards provide immediate navigable access to actionable analytics that has the power to boost your bottom line through continual commercial evolution.

Dashboards 316

Dashboards KPI Sales Visualization 316

Cloudera

JANUARY 5, 2021

Through this collaborative effort, they also reduced point solution costs, improved analytic agility, and established an approach to use with other legacy business applications. This retailer also implemented a follow-on use case of predictive analytics for maintenance, improving uptime of their delivery fleet.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

CIO Business Intelligence

AUGUST 18, 2022

The data warehouse requires a time-consuming extract, transform, and load (ETL) process to move data from the system of record to the data warehouse, whereupon the data would be normalized, queried, and answers obtained. Under Guadagno, the Deerfield, Ill.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Business Intelligence 139

datapine

AUGUST 14, 2019

Exclusive Bonus Content: Download Our Free Data & Science Checklist! Geet our bite-sized free summary and start building your data skills! In the past, data scientists had to rely on powerful computers to manage large volumes of data. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Sisense

JULY 22, 2020

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses. Building dashboards and widgets.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Ontotext

FEBRUARY 26, 2024

Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. It compares actual price changes to expected changes based on historical data. Then it presents customizable insights through an interactive dashboard for thorough analysis. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

datapine

NOVEMBER 19, 2019

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Voice-as-User Interface (VUI).

Technology 279

Technology Internet of Things IT IoT 279

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Apache Hadoop Apache Hadoop is a Java-based open-source platform used for storing and processing big data. Allows for batch processing.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Ontotext

SEPTEMBER 2, 2020

The automatic recognition of concepts leads to improved author productivity and context-based search results, which provides rich content analytics and interaction to subscribers. The cost savings from streamlining the content for over 100 publications automatically instead of manually are dramatic. Knowledges Graphs for Memory Recall.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Rita Sallam

JULY 22, 2016

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. Sisense supports a wide range of relational, NoSQL and big data sources.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40