Smarten

MAY 17, 2017

If you are considering a Business Intelligence solution, you ought to give some consideration to the concept of Smart Data Visualization and review your prospective solution to determine its capabilities in that regard. How do users perceive and use data? How do formats and reporting affect a user’s understanding of data?

Visualization 40

Visualization Business Intelligence Unstructured Data Interactive 40

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

CIO Business Intelligence

MAY 10, 2022

Customer data platform defined. 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. Salesforce Interaction Studio. DMPs, however, use anonymized data.

Advertising 120

Advertising Interactive Marketing Data Integration 120

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. They enable powerful data visualization.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

FineReport

FEBRUARY 5, 2020

Overall, as users’ data sources become more extensive, their preferences for BI are changing. They prefer self-service development, interactive dashboards, and self-service data exploration. To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department.

Metadata 98

Metadata Dashboards Informatics Visualization 98

AWS Big Data

FEBRUARY 20, 2024

With this zero-ETL approach, Amazon Redshift Streaming Ingestion enables you to connect to multiple Kinesis data streams or Amazon Managed Streaming for Apache Kafka (Amazon MSK) data streams and pull data directly to Amazon Redshift without staging data in Amazon Simple Storage Service (Amazon S3).

Visualization 99

Visualization Cost-Benefit Optimization B2B 99

FineReport

JUNE 24, 2021

All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing. Initially, data has to be collected. Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data. Data visualization analysis.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Rocket-Powered Data Science

JULY 7, 2019

Chatbots cannot hold long, continuing human interaction. Traditionally they are text-based but audio and pictures can also be used for interaction. They provide more like an FAQ (Frequently Asked Questions) type of an interaction. NLG is a software process that transforms structured data into human-language content.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

JUNE 14, 2023

Admittedly, it’s still pretty difficult to visualize this difference. Consider data types. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Only 12% of IT decision-makers report that their organizations interact with data across the full analytics lifecycle.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. These dashboards are more interactive than traditional static reports, allowing users to access underlying data for further analysis.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

FineReport

JULY 18, 2022

The features you or your company need are core factors influencing your selection of the data analytics tool. For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. Free Download. From FineBI.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Cloudera

APRIL 1, 2024

The following are key attributes of our platform that set Cloudera apart: Unlock the Value of Data While Accelerating Analytics and AI The data lakehouse revolutionizes the ability to unlock the power of data. We have embedded LLMs in our Hue interface so you can write SQL queries in English or any other language.

Unstructured Data 103

Unstructured Data Cost-Benefit Metadata Machine Learning 103

Cloudera

NOVEMBER 25, 2020

The data challenge is just one dimension, Matthew expressed open concern around how they will meet their – now much larger – organization’s needs with limited resources and without extensive funding for additional IT. Scale to provide 1,000s of researchers frictionless interaction with data.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

Ontotext

JUNE 22, 2023

What if we first find out how a disease occurs, what pathological processes are involved on the cellular and molecular levels, which genes and proteins play a role and how they interact? It can also be easily maintained and upgraded, which lowers the costs of adding new data and maintaining data updates.

Metrics 52

Metrics Statistics Visualization Metadata 52

DataRobot

APRIL 19, 2021

But for more complex business decisions, including those that use less structured data, we have artificial intelligence systems. Data scientists train the algorithms using datasets that contain curated learning examples. They need data assembly, data science, integration, and visualization skills.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

AWS Big Data

FEBRUARY 21, 2023

Business intelligence (BI) with dashboards, reports, and analytics remains one of the most popular use cases for data and analytics. It provides business analysts and managers with a visualization of the business’s past and current state, helping leaders make strategic decisions that dictate the future.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

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. That’s how we got here.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Ontotext

FEBRUARY 26, 2024

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Here’s how our tool makes it work.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

Ontotext

SEPTEMBER 7, 2023

And the other thing is another way of displaying it or visualizing it, which is a little more node based or hierarchically based. Doug : You’ve got nodes that describe data and edges that describe the relationships between them. Would you agree with what I just said? I’m a CDO and I’m intrigued.

Technology 59

Technology Visualization Digital Transformation Management 59

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. Try FineReport Now 1.1 This will be elaborated on in the third part of this article.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Sisense

JUNE 30, 2020

In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. One of the downsides of the role that data now plays in the modern business world is that users can be overloaded with jargon and tech-speak, which can be overwhelming.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

CDW Research Hub

DECEMBER 4, 2019

Cloud-based data warehouses can also perform complex analytical queries much faster due to the use of massively parallel processing (MPP), which uses multiple processors—each with its own operating system and memory—to simultaneously perform a set of coordinated computations.

Data Warehouse 52

Data Warehouse Data mining Data Lake Dashboards 52

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. This is the Data Mart stage.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

Ontotext

JULY 26, 2019

For example, within a knowledge graph built with Linked Data, one can connect geographic, government, life sciences, commerce and many other types of data and easily explore, search, visualize and navigate the information they carry. Take, for instance, the domain of business intelligence and the problem of discoverability.

Technology 75

Technology Enterprise Data Integration Management 75

Cloudera

JULY 26, 2021

Authorization: Define what users of internal / external organizations can access and do with the data in a fine-grained manner that ensures compliance with e.g., data obfuscation requirements introduced by industry and country specific standards for certain types of data assets such as PII.

Strategy 117

Strategy Data Science Marketing Unstructured Data 117

AWS Big Data

MARCH 25, 2024

AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data. With Amazon Managed Service for Apache Flink Studio , you can build and run Apache Flink stream processing applications using standard SQL, Python, and Scala in an interactive notebook.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

AWS Big Data

MARCH 13, 2024

Visual layouts in some screenshots in this post may look different than those on your AWS Management Console. Data generation In this section, we discuss the steps to manually or automatically generate journey data. Refer to the instructions in the README file for steps on how to provision and decommission this solution.

Analytics 94

Analytics IoT Metadata Internet of Things 94

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Ontotext

JULY 26, 2019

For example, within a knowledge graph built with Linked Data, one can connect geographic, government, life sciences, commerce and many other types of data and easily explore, search, visualize and navigate the information they carry. Take, for instance, the domain of business intelligence and the problem of discoverability.

Technology 40

Technology Data Integration Enterprise Structured Data 40

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 74

Data Lake Data Warehouse Sales Data-driven 74

AWS Big Data

JUNE 21, 2023

The challenge comes when we need to ask more complex questions of our data, for example, what was the year-on-year quarterly sales growth by product broken down by country? The case for a data warehouse A data warehouse is ideally suited to answer OLAP queries. To house our data, we need to define a data model.

Data Warehouse 78

Data Warehouse Data Lake OLAP Cost-Benefit 78

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

datapine

MAY 27, 2020

It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive. By using an online dashboard , you will be able to gain access to dynamic metrics and data in a way that’s digestible, actionable, and accurate.

Reporting 245

Reporting Analytics Dashboards Sales 245

datapine

APRIL 28, 2023

When we talk about correctly using data we mean understanding its properties, types, and conditions in which it should be used. This is especially important for programmers who need to build complex codes and interact with computer systems to do so. That is where data types come into play.

Reporting 200

Reporting Data-driven Visualization Interactive 200