DataKitchen

JANUARY 3, 2022

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Smart Data Collective

APRIL 5, 2021

These data are collected from innumerable sources from the internet, which primarily consists of user details. Upon analysis, these user data can be transformed into valuable metrics that can be used to understand and also influence human behavior. Using Big Data for Web Development. Web Traffic Analysis.

Big Data 107

Big Data IT Data-driven Sales 107

Jet Global

OCTOBER 8, 2020

Analysing the necessary data is a massive undertaking, and one that can draw finance professionals away from other tasks. And it’s possible to become lost in the minutiae of the many different metrics available to measure an organisation’s AR capabilities. Tip 3: Make decisions with operational data.

Finance 98

Finance Reporting Forecasting Metrics 98

datapine

OCTOBER 14, 2020

Soon businesses of all sizes will have so much amount of information that dashboard software will be the most invaluable resource a company can have. Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. That’s why we welcome you to the world of interactive dashboards.

Dashboards 235

Dashboards Interactive Reporting KPI 235

AWS Big Data

MARCH 25, 2024

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

FineReport

APRIL 9, 2024

Visualizing Healthcare Data for Actionable Insights In addition to predictive analytics and data mining, healthcare data visualization plays a crucial role in empowering healthcare providers with real-time insights into patient conditions and treatment effectiveness.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

DataKitchen

NOVEMBER 29, 2021

In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Quality test suites will enforce “equity,” like any other performance metric. The Hub-Spoke architecture is part of a data enablement trend in IT. Data Observability.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

IBM Big Data Hub

AUGUST 11, 2023

Moreover, they play a crucial role in quality management and compliance by enforcing quality control procedures, monitoring metrics and capturing real-time data. They also support the measurement of overall equipment effectiveness (OEE) , a significant metric used to gauge manufacturing efficiency.

Software 71

Software Manufacturing Cost-Benefit ROI 71

AWS Big Data

JUNE 19, 2023

In OpenSearch Dashboards, choose Security in the navigation pane. Navigate to Dev Tools in OpenSearch Dashboards and run the following command: GET _cat/templates This confirms that the scripts were successful. You can use the visualizations after you start importing data. Choose Import.

Publishing 81

Publishing Dashboards Visualization Management 81

FineReport

APRIL 24, 2024

With the ability to represent complex datasets in an easily understandable format, visualizations enable analysts to navigate through extensive data seamlessly. The dynamic nature of visualizations allows for swift changes in perspectives, enabling users to switch between different views or layers of information effortlessly.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. 2) Uncovering Fresh Business Insights.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. The audience of these few reports was limited—a maximum of 20 people from management.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Sisense

DECEMBER 11, 2019

He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more. Kongregate has been using Periscope Data since 2013.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Smart Data Collective

OCTOBER 25, 2023

Relational databases emerged in the 1970s, enabling more advanced data management. In the 1990s, OLAP tools allowed multidimensional data analysis. The early 2000s brought self-service BI solutions for user-created reports and dashboards. Role of BI in Modern Enterprises What’s the goal and role of this data giant?

Key Performance Indicator 97

Key Performance Indicator Business Intelligence Data-driven Metrics 97

CIO Business Intelligence

APRIL 30, 2024

This feature provides users the ability to explore metrics with natural language. Tableau Pulse will then send insights for that metric directly to the executive’s preferred communications platform: Slack, email, mobile device, etc. Metrics Bootstrapping. Metric Goals. Metric Goals.

Analytics 77

Analytics Metrics Visualization Dashboards 77

Andrew White

JANUARY 11, 2021

Remember, it’s not about how many records were cleaned up or how many dashboards were generated, it’s about how much of an impact on the outcome the worm of D&A has that counts. What are the new trends around the Data solution architecture (centralized vs de-centralized?). I didn’t mean to imply this. Would you agree?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

APRIL 3, 2024

Cloud-based solutions can automate tasks such as data collection, reconciliation, and reporting. Real-time Visibility and Insights : Cloud applications offer real-time access to financial data, enabling informed decision-making.

Reporting 52

Reporting Cost-Benefit Software Forecasting 52