Data Tools
Data Workspace, Pipeline, Exploration, Collection & Sharing
Enable everyone on team including Citizen Data Scientists to access, share and collaborate with data easily.
Data Tools cover features for Data Sources, Workspace, Pipeline, Metadata Management, Catalog, IDE/Collaboration, Exploration, Collection & Sharing, Integration APIs, Data Mesh.
Copy-Paste Data Assets.
Integrate with BI tools & get actionable insights faster.
Data Tools
Modern Data Workspace with Data Collaboration
Enable everyone on team including Citizen Data Scientists to access, share and collaborate with data easily. Integrate with BI tools & get actionable insights faster.
Data Tools & Catalog
Citizen Data Tools to access, prepare, transform and investigate data. Building blocks for Composable Architecture.
Modern Data Workspace
A virtual hub for data assets, teams can create a single source of truth for all their data assets
Data Collaboration
Enables teams to collaborate across the modern data stack
Data Lake
Teams and for the first time, consumers have ability to create and own data lakes.
Metadata Management
Manage & handle metadata easily. The problem of headless data (without metadata) flowing thru data stack is "solved once for all".
Data Collection & Sharing
Data ecosystem to democratize data collection and sharing. Use Copy-Paste on data assets to curate & share data.
Application Integration
A modern data platform has application integration as important component. We solves this with no-code/low-code API enablement.
Benefits of Modern Data Workspace with Data Collaboration Tools
By acting as a virtual hub for data assets ranging from tables and spreadsheets to files and emails, EasyManage enables teams to create a single source of truth for all their data assets and collaborate across the modern data stack through movable data assets and integrations.
Share data assets as easily as sharing a link on Google Docs.
EasyManage is viewed as, a next-generation data ecosystem that provides human powered, opted-in data to democratize data collection or sharing, between businesses & consumers.
EasyManage Data Lake concept:
Data Lakes Aggregate All Data, Independent Of Format Or Source.
Using Easymanage Digital information wallet, Teams and for the first time,
consumers have ability to create and own data lakes,
with data from sources such as:
[Structured Data Sources]
Data shared by apps,
Invoices and receipts,
Online forms,
Spreadsheets,
CRM Profiles, And
[Unstructured Data Sources]
Emails,
Social media content (Future roadmap).
Roadmap: Get Ready for upcoming Data Trends%#
Empower Citizen Data Scientists
Citizen data science (CDS) Tools to access, prepare, transform and investigate data.
Data Sharing
Data Sharing Is a Business Necessity to Accelerate Digital Business
Data and analytics at the edge
DA technologies closer to the physical assets, outside of the traditional data centers.
Composable data and analytics
Use components from multiple data solutions & sources to compose new applications.
Data workspace For Small and Wide data
Tools to get useful insights from Small and Wide data.
The rise of the augmented consumer
From dashboards to automated, conversational, dynamically generated insights at point of consumption.
Leverage Data and Analytics trends to drive business value
As data becomes increasingly complex and digital business accelerates, EasyManage Tools prepare you to be ready for modern data stack needs. They enable organizations to operationalize data and analytics to drive business value.
Data Sharing Is a Business Necessity to Accelerate Digital Business
Data and analytics leaders who share data externally generate three times more measurable economic
benefit than those who do not.
The rise of the augmented consumer
Traditionally, business users were restricted to predefined dashboards and manual data exploration.
However, moving forward, these dashboards will be replaced with automated,
conversational, mobile and dynamically generated insights customized to a user's needs and
delivered to their point of consumption.
Data and analytics at the edge
As more data analytics technologies begin to live outside of the traditional data center and cloud
environments, they're moving closer to the physical assets. This reduces or eliminates latency for
data-centric solutions and enables more real-time value.
Roadmap: Blueprints For No-Code AI/ML Models, Synthetic Data%#
Blueprints are collection of example code and relevant use case datasets that are configured to use our tools. These can be easily adapted to solve customer problems and build new use cases.
Empower Professionals to build AI/ML Models with No-Code
Tools and blueprints for Citizen Data Scientists to label data, build AI/ML Models, produce synthetic data, all with minimal assistance from professionals like Doctors and Scientists.
No-Code AI/ML Models
No-Code Tools to build AI/ML models. Developed for sectors like healthcare, pharma, life sciences, edu-tech.
Synthetic Data
Train ML models on your real life source data (optionally pre-configuring with manual labeling of data), then generate synthetic data that is realistic and statistically comparable.
%# The trends are announced by Gartner in articles and pages at gartner.com. We have used those sources and derived descriptions for the benefit of visitors. EasyManage vision aligns with these trends. We provide solutions for leveraging from these trends, based on our products and integrating with other providers in BI analytics space, to get overall benefits mentioned in this section. Some EasyManage features are from roadmap.
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For any help or support, Please email to info@easymanage.com.