CIO Business Intelligence

NOVEMBER 14, 2022

With organizations increasingly focused on data-driven decision making, decision science (or decision intelligence) is on the rise, and decision scientists may be the key to unlocking the potential of decision science systems. ERP dashboards. Analytics, Data Science Clinical DSS. Model-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

AWS Big Data

AUGUST 2, 2023

This post was co-written by Sheel Saket, Senior Data Science Manager at FIS, and Rupesh Tiwari, Senior Architect at Amazon Web Services. The workflow includes the following steps: GitHub webhook events stream data to both Amazon S3 and OpenSearch Service, facilitating real-time data analysis.

Visualization 82

Visualization Insurance Cost-Benefit Finance 82

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 72

Analytics Data Warehouse Data Lake Metadata 72

CDW Research Hub

APRIL 20, 2020

Snowflake, a data warehouse built specifically for the cloud, is one popular option. Snowflake helps eliminate many of the common issues data professionals face because it supports structured and semi-structured data, scales massive concurrency without limit, and boasts secure, live data sharing.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 108

IT Data Architecture Unstructured Data Big Data 108

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 97

IT Data Architecture Unstructured Data Big Data 97

Rocket-Powered Data Science

JULY 14, 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.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

Jet Global

MARCH 2, 2021

Modern BI tools are generally geared toward data science and visualization. That’s because modern BI tools were not designed to work with the unique challenges of finance data. They prefer nicely structured data, and they don’t work so well with the ragged hierarchies of your typical chart of accounts.

Reporting 98

Reporting Slice and Dice Finance Operational Reporting 98

AWS Big Data

JUNE 6, 2023

As the SumUp merchants user journey only starts onsite (with a Sign up or product purchase), but extends to offline card reader transactions or usage of our products from within our app and web dashboard, it is important to combine Digital Analytics data with other (backend) data sources in our Data Lake or DWH.

Analytics 56

Analytics Data Lake Testing Optimization 56

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. In the prior setup, we maintained four specialized queues for ETL, ad hoc queries, BI tools, and data science.

Data Warehouse 94

Data Warehouse Data Lake Analytics Data Science 94

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. 15 Best Data Analysis Tools.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

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

MARCH 26, 2024

The following diagram shows a sample C360 dashboard built on Amazon QuickSight. You can benefit from its ML integrations for automated insights like forecasting and anomaly detection or natural language querying with Amazon Q in QuickSight , direct data connectivity from various sources, and pay-per-session pricing.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

JUNE 14, 2023

Consider data types. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Cloudera

SEPTEMBER 6, 2018

Support machine learning (ML) algorithms and data science activities, to help with name matching, risk scoring, link analysis, anomaly detection, and transaction monitoring. Provide audit and data lineage information to facilitate regulatory reviews. Spark also enables data science at scale. Cloudera Enterprise.

Machine Learning 40

Machine Learning Risk Big Data Unstructured Data 40

Cloudera

APRIL 1, 2024

Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data science, data engineering, analytics, and AI use cases, including PB-size generative AI workloads.

Unstructured Data 101

Unstructured Data Cost-Benefit Metadata Machine Learning 101

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52