Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

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 enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse.

Data Lake 77

Data Lake Data Warehouse Sales Data-driven 77

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

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

Cloudera

NOVEMBER 25, 2020

Traditional systems are siloed, hard to access and often structured to serve traditional reports. Legacy systems do not scale with the new data needs. How could Matthew serve all this data, together , in an easily consumable way, without losing focus on his core business: finding a cure for cancer.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

FineReport

JUNE 24, 2021

Data is the key to gaining great insights for most businesses, but it is also one of the biggest obstacles. Originally, Excel has always been the “solution” for various reporting and data needs. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

CIO Business Intelligence

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Business Intelligence 139

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. QuickSight offers scalable, serverless visualization capabilities.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

FineReport

DECEMBER 27, 2021

Dashboards and visualizations are the primary user interfaces of many tools and platforms. Enterprise BI typically functions by combining enterprise data warehouse and enterprise license to a BI platform or toolset that business users in various roles can use. The data is managed, secure and tested for accuracy.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

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

CDW Research Hub

DECEMBER 4, 2019

There are many benefits of using a cloud-based data warehouse, and the market for cloud-based data warehouses is growing as organizations realize the value of making the switch from an on-premises data warehouse.

Data Warehouse 52

Data Warehouse Data mining Data Lake Dashboards 52

Alation

OCTOBER 21, 2021

A data lakehouse combines the benefits of a data lake, including scale, efficiency, and flexibility, with the benefits of a data warehouse, which include ideal support for structured data. Alation & Your Data. This enables the best of both worlds, but does so using a modern, open architecture.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 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

Sisense

MAY 11, 2021

Maybe one of the most common applications of a data model is for internal analysis and reporting through a BI tool. In these cases, we typically see raw data restructured into facts and dimensions that follow Kimball Modeling practices. building connections via business logic between two data sources) Merging (e.g.,

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CDW Research Hub

APRIL 28, 2020

Automate data loads with job scheduling so that your data is always there when you need it. Quickly access data for business intelligence, reporting and visualization, or access next-generation analytics platforms like ThoughtSpot. Use Matillion’s universal REST API to connect to any AP-enabled application.

Data-driven 52

Data-driven Analytics Consulting ROI 52

AWS Big Data

JUNE 21, 2023

These types of queries are suited for a data warehouse. The goal of a data warehouse is to enable businesses to analyze their data fast; this is important because it means they are able to gain valuable insights in a timely manner. Amazon Redshift is fully managed, scalable, cloud data warehouse.

Data Warehouse 80

Data Warehouse Data Lake OLAP Cost-Benefit 80

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 89

Data Lake Data Warehouse B2B Data-driven 89

Cloudera

APRIL 1, 2024

This recognition is a testament to our vision and ability as a strategic partner to deliver an open and interoperable Cloud data platform, with the flexibility to use the best fit data services and low code, no code Generative AI infused practitioner tools.

Unstructured Data 100

Unstructured Data Cost-Benefit Metadata Machine Learning 100

Jet Global

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

Reporting 52

Reporting Finance Data Quality Sales 52