CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Model-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

OCTOBER 19, 2023

Disparate data sources Data from different sources comes in multiple formats, such as Excel, JSON, CSV, etc., For example, two data sources may have different data types of the same field or different definitions for the same partner data. or databases such as Oracle, MongoDB, MySQL, etc.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

Sisense

JULY 22, 2020

As access to and use of data has now expanded to business team members and others, it’s more important than ever that everyone can appreciate what happens to data as it goes through the BI and analytics process. Your definitive guide to data and analytics processes. Data modeling: Create relationships between data.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

AWS Big Data

MARCH 2, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables you to use SQL for analyzing structured and semi-structured data with best price performance along with secure access to the data.

Visualization 98

Visualization Dashboards Data Warehouse Metrics 98

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

Octopai

MARCH 22, 2023

Data migration can be a daunting task, especially when dealing with large volumes of data. Snowflake is one of the leading cloud-based data warehouse that provides scalability, flexibility, and ease of use. Snowflake data warehouse platform has been designed to leverage the power of modern-day cloud computing technology.

Data Warehouse 103

Data Warehouse Cost-Benefit Unstructured Data Optimization 103

AWS Big Data

AUGUST 31, 2023

One of the major and essential parts in a data warehouse is the extract, transform, and load (ETL) process which extracts the data from different sources, applies business rules and aggregations and then makes the transformed data available for the business users. manifest' s3.Bucket(bucketname).put_object(Key=keypath,

Data Warehouse 111

Data Warehouse Data-driven Testing Business Intelligence 111

Ontotext

OCTOBER 14, 2021

Investment firms, including one of Ontotext’s clients, spend enormous sums every year buying data from brokers, while also producing original analyses and relying on coverage from news media, especially in regions where raw numbers are harder to find. See figure 1.). Mock Knowledge Graph for New Delhi Ventures.

Reporting 98

Reporting Structured Data Data Warehouse Metadata 98

FineReport

JUNE 24, 2021

Once the data becomes more extensive or more complex, Excel or other simple solutions may “fetter” your potentialities. Business Intelligence Solutions Definition. Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

AWS Big Data

AUGUST 15, 2024

In this post, we show how to capture the data quality metrics for data assets produced in Amazon Redshift. Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Data Quality 111

Data Quality Visualization Metadata Key Performance Indicator 111

Ontotext

DECEMBER 15, 2022

Connecting the dots of data of all types. To begin with, Fantastic Finserv has to handle a wide variety of data. This includes traditional structured data such as: Reference data – the data used to relate data to information outside of the organization.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

FineReport

DECEMBER 27, 2021

Definition. Business intelligence is the collection, storage, and analysis of data from firm activities to create a holistic perspective of a business. 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.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data lakehouse was created to solve these problems.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Cloudera

OCTOBER 3, 2018

In the data center and in the cloud, there’s a proliferation of players, often building on technology we’ve created or contributed to, battling for share. The tremendous growth in both unstructured and structured data overwhelms traditional data warehouses. We have each innovated separately in those areas.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Wayne Yaddow

MARCH 14, 2025

JSON Artifacts : By default, dbt Core writes structured run and test results to JSON files in the target directory, enabling further analysis or integration with dashboards. External Orchestration Alerts : Orchestrators (e.g., Workaround: Use Git branches, tagging, and commit messages to trackchanges.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

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 Machine Learning 52

Corinium

APRIL 25, 2019

Yes, definitely! The last 10+ years or so have seen Insurance become as data-driven as any vertical industry. For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks.

Insurance 150

Insurance Risk IoT Data-driven 150

AWS Big Data

OCTOBER 30, 2024

In our use case, we use Redshift Query Editor to create data marts using SQL code. We also use Redshift Spectrum, which allows you to efficiently query and retrieve structured and semi-structured data from files stored on Amazon S3 without having to load the data into the Redshift tables.

Data Lake 95

Data Lake Machine Learning Data Architecture Data-driven 95