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 Data Science Prescriptive Analytics 166

Analytics Vidhya

JULY 7, 2020

The post Tableau Tip: Visualize a Single Value Against Others appeared first on Analytics Vidhya. Introduction How often have we all tried to compare a value against a range, with unsatisfying results? Excel is the most common tool for.

Visualization 313

Visualization Analytics Structured Data Business Analytics 313

Analytics Vidhya

JUNE 11, 2020

The post Build your own Animated Data Visualization in Tableau in Just 5 Minutes appeared first on Analytics Vidhya. Overview Animated visualizations are a work of art and are really easy to create in Tableau We’ll work with open-source datasets here and create.

Visualization 280

Visualization Analytics Structured Data Business Analytics 280

DataKitchen

APRIL 11, 2023

He drew from his twenty-five years of experience in business analytics, pharmaceutical brand launch strategy, and project management. This includes working on data quality testing and structuring data for easy access.

Data Analytics 130

Data Analytics Analytics Cost-Benefit Data Quality 130

Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

IBM Big Data Hub

NOVEMBER 30, 2022

Jabil is a longtime partner and IBM Business Analytics (BA) portfolio user, but before they made the switch to BA almost 15 years ago, they were using excel and spending most of their financial planning time trying to determine which numbers were most true for planning purposes. We can’t even see where the bar used to be.”.

Reporting 52

Reporting Enterprise Finance Business Analytics 52

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

FineReport

APRIL 11, 2023

Free Download of FineReport Benefits and limitations of Business Intelligence Dashboard (BI Dashboard) BI dashboards have become essential tools for enterprises to extract valuable insights from their expanding data repositories, which often encompass structured, unstructured, and semi-structured data.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Peter James Thomas

AUGUST 29, 2018

Data Democratisation is simply making data available and abstracting away from siloed storage mechanisms, but the platform wraps the implementation of quality, controls and structure to the way that happens.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Jet Global

OCTOBER 1, 2024

This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases. It directly queries structured and semi-structured data from data lakes , enabling operational dashboards and real-time analytics without the need for preprocessing.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

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

Jet Global

MAY 9, 2024

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52