Smart Data Collective

OCTOBER 25, 2023

More companies are turning to data analytics technology to improve efficiency, meet new milestones and gain a competitive edge in an increasingly globalized economy. One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. Let’s break it down for you.

Key Performance Indicator 122

Key Performance Indicator Business Intelligence Data-driven Metrics 122

Smart Data Collective

APRIL 2, 2019

These massive storage pools of data are among the most non-traditional methods of data storage around and they came about as companies raced to embrace the trend of Big Data Analytics which was sweeping the world in the early 2010s. The Third Problem – Preparation of Data.

Data Lake 106

Data Lake Big Data OLAP Testing 106

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Data Security.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

Octopai

DECEMBER 22, 2019

Named by Solutions Review as an Analytics Vendor to Watch, 2020. Named by CRN as a Top 10 Data Analytics Company to Watch. Expanded our support of Microsoft OLAP cube , an innovative open-source feat. Prepared enterprises to comply with data regulations such as GDPR and the California Consumer Protection Act (CCPA).

Metadata 72

Metadata Management OLAP Data Governance 72

Ontotext

JUNE 10, 2021

To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP). If you want to solve interesting problems beyond basic data analytics, you are going to need formal semantics and that means schemas.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Jedox

DECEMBER 3, 2020

In a recent web survey conducted by Jedox, 40% of FP&A professionals reported that disconnected data sources are their primary pain point for their data analytics. A modern planning solution should enable seamless connection of your data sources and allow your organization to minimize reliance on your in-house IT department.

OLAP 57

OLAP Cost-Benefit Data-driven Finance 57

Jet Global

OCTOBER 22, 2020

Most organizations are looking for sophisticated reporting and analytics, but they have little appetite for managing the highly complicated infrastructure that goes with it. OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. Or is Business Intelligence One Part of Business Analytics?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

AWS Big Data

OCTOBER 18, 2023

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

Analytics 107

Analytics Data Warehouse Dashboards Testing 107

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

AWS Big Data

AUGUST 1, 2024

The data warehouse is highly business critical with minimal allowable downtime. About the authors Chanpreet Singh is a Senior Lead Consultant at AWS, specializing in Data Analytics and AI/ML. We hope this post provides you with valuable guidance. We welcome any thoughts or questions in the comments section.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

Jet Global

MAY 6, 2022

Other benefits include: Providing accurate, governed data through a single source of truth. Providing pre-built OLAP cubes, a data warehouse, and visualized dashboards. Rapid time to value through turnkey installation within hours. Low total cost of ownership. A drag-and-drop customization platform.

Data Warehouse 52

Data Warehouse Visualization Finance Reporting 52

Jet Global

MAY 1, 2023

Third-party data might include industry benchmarks, data feeds (such as weather and social media), and/or anonymized customer data. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing. The application thus becomes a vital information hub.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

MARCH 13, 2025

Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution. In addition, StarTree offers a managed experience for real-time and batch Pinot workloads, offering enhanced security, automated data ingestion, tiered storage, and off-heap upserts.

Management 92

Management Analytics OLAP Online Analytical Processing 92