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.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Visualization 270

CIO Business Intelligence

NOVEMBER 14, 2022

They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. This data visualization and analytics software helps users create dashboards and power predictive applications and real-time analytics applications.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

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

Sisense

JUNE 30, 2020

Prescriptive analytics takes things a stage further: In addition to helping organizations understand causes, it helps them learn from what’s happened and shape tactics and strategies that can improve their current performance and their profitability. Predictive analytics is the most beneficial, but arguably the most complex type.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

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. Predictive analytics and modeling.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

AWS Big Data

JUNE 19, 2024

Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as BI, predictive analytics, and real-time streaming analytics. SUPER data type columns in Amazon Redshift contain semi-structured data like JSON documents.

Data Warehouse 102

Data Warehouse Testing Sales Structured Data 102

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CDW Research Hub

JANUARY 21, 2021

Snowflake is a modern cloud data platform that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Data Warehouse 52

Data Warehouse Dashboards Predictive Analytics Structured Data 52

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 data lacks a specific format or structure.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

BizAcuity

OCTOBER 21, 2019

Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc. into structured data to develop actionable managerial insights to enhance their operations. Text mining is also referred to as text analytics, is the process of deriving high -quality information from text.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

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

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process. The Data Catalog objects are listed under the awsdatacatalog database. FHIR data stored in AWS HealthLake is highly nested.

Data Analytics 105

Data Analytics Analytics Data Warehouse Data Lake 105

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Strategic planning and predictive analytics : Companies can use this analysis for strategic planning.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

FineReport

JULY 18, 2022

Except for the rows and columns, you can also display your data through graphs and charts. For more advanced data analysis, Excel provides you with pivot tables, enabling you to analyze structured data through multiple dimensions quickly and effectively. Price: Excel is not a free tool.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52

AWS Big Data

MARCH 26, 2024

With QuickSight, you can embed dashboards to external websites and applications , and the SPICE engine enables rapid, interactive data visualization at scale. Data warehouse Data warehouses are efficient in consolidating structured data from multifarious sources and serving analytics queries from a large number of concurrent users.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

AWS Big Data

JULY 12, 2023

It automatically provisions and scales the data warehouse capacity to deliver high performance for demanding and unpredictable workloads, and you only pay for the resources you use. Amazon Redshift delivers up to five times better price performance than other cloud data warehouses out of the box and helps you keep costs predictable.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

Jet Global

FEBRUARY 6, 2024

Logi Symphony offers support for all major data sources and, leveraging the expertise of Simba, our industry leading data connection solution, Logi Symphony has the unique ability to interact with data sources at a level completely unseen by most products.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Corinium

APRIL 25, 2019

The areas of fastest AI innovation and adoption are around machine learning, using it for more and more use cases where there exists large volumes of data, and human beings just don’t have the bandwidth or can’t keep up with ongoing stream of transactions, events, or whatever other changes in the environment being described by that data.

Insurance 150

Insurance Risk IoT Data-driven 150