Build workflows to load, stream, blend and transform any data.
Exploit machine learning, extract insights and perform visual exploration.
Design interactive reports, publish and share your results.
Build and manage pipelines to pull, transform and push your data across systems.
Utilise built-in machine learning or plug in your models to augment your IDE experience.
Discover insights to make data-driven business decisions.
A fresh and smart experience on any device: Windows, Mac, Linux, Android, iOS.
Augment workflows with custom Python / R scripts and enhance reports with any JS based visualisation.
Big Data preparation and Live Query on SQL databases.
Multi-user synchronised edits to collaborate on workflows and dashboards.
Schedule data refresh and report updates, trigger tasks and alerts. Plenty of REST API to automate data flows, edit and query data, reconfigure dashboards.
Deploy on-premises locally or on your cloud. Built-in user permissions, OpenID Connect identity verification (Google, Okta, Auth0, Keycloak) and LDAP support.
Extract and process big data. Transform, combine and clean. Use in Omniscope’s visualisations, or export to another system.
Data sources include:
Excel, CSV, JSON, XML, Parquet, Avro, text
Google Analytics, DoubleClick, Campaign Manager, Sheets
Salesforce, Twitter, Reddit
HTTP API, Email, SSH
Google Cloud Storage
Amazon Redshift, S3
Actian Vector, Impala
Community Custom blocks (Python / R)
Other advanced analytics include:
One Way ANOVA
Filter, select, isolate, exclude. Experiment with different visualisations. Create and share reports.
With our Custom View API, use any client-side HTML5 framework or technology you like – your views will filter and cross-tab automatically.
Data storytelling on how to visualise geographic time data – Analysis of the water quality in Europe
Collections of web dashboards to help analyse and explore the Coronavirus pandemic outbreak, worldwide and in specific countries.
Simulating the effects of social distancing and isolation, taking into account asymptomatic and positive cases, lethality of the Covid-19 and region population density.
Dashboard to monitor & visualise cryptocurrency flows between exchanges and unknown entities on different Blockchain networks.
Analysing data from two unrelated advertising campaigns in the same report. Independent and combined filtering applied.
Explore the impressive career stats of Kobe Bryant, one of (if not) the best NBA player ever.
Showing truck delivery routes and quantities of pallets delivered to customers, including the delay breakdown.
Harvesting historic data from internet-hosted files, harmonising data and visualising results
Wine collection is clustered according to characteristics such as chemistry, colour etc.
Analysing trading volume/price correlation of a security.
In this demo we focused on price of Bitcoin, Ethereum and Leo, attempting a time-series analysis as explained by this blog post
Exploiting public data to build a monitoring dashboard. Measuring air pollution and trigger data alerts.
An example of data democratisation to put a spotlight on public health. Full article on Medium.
Streaming live data from Twitter to calculate users sentiment about Brexit over time.
Omniscope reduced staff time devoted to routine report preparation by 90%
用户界面简单易学，操作流程简捷，通过浏览器可以随处对应用程序进行更新。 这个软件功能强大，每个版本都有许多新增的功能，而且可以在流程中直接写PYTHON/R和JAVA SCRIPT，报表可以直接触发应用程序的运算和更新。 更重要的是，这个软件有及时和高质量的技术支持，我的问题每次都及时地传给不同的部门得以解决。 虽然市场上大数据的软件很多，我个人觉得OMNISCOPE同时为程序开发者和程序使用者提供了很好的功能，你可以自己在https://daily.omniscope.me/ 试一下。
We are always looking for talented and driven people in software, business development and commercial areas, so if this is you, get in touch.