“With Monarch Swarm we can easily share fresh data on inventory levels on a store-by-store basis, with purchasing, sales and finance while simplifying our operational processes by re-using data prep models.”
– Kevin Costa, Inventory Control Manager, National Lumber
Data socialization is the next step in the evolution in data accessibility and self-service analytics allowing individuals, teams and organizations to reshape the way companies think about, and employees interact with, their business data. Data socialization eliminates the common barriers to data access and sharing. It creates a “data utopia” for BI analysts, data scientists and business users that boosts their productivity and speeds decision making.
Datawatch Monarch Swarm is the industry’s first data socialization platform, combining self-service data preparation, data cataloging, data stewardship, automation and governance features with key attributes common to social media platforms.
Data source inputs:
Native data exports: IBM Watson and Cognos Analytics, Tableau, Qlik, Excel, Access, Delimited- and fixed-text formats
In most industries today, it is essential for all personnel--from...
If we have data for everything, we should be able...
A 2017 Harvard Business Review article, What’s Your Data Strategy?,...
Browser-Based, Team-Driven Data Preparation for the Enterprise Datawatch Monarch Swarm offers...
Everyday users can overcome any report creation or analytics challenge by streamlining data access, eliminating coding/scripting from data cleansing and transformation.
Data blending is simplified and repeatable time-consuming processes are automated.
Provide centralized access to data that is created by business experts, governed by data stewards and trusted by the enterprise.
Reduce the burden on IT by providing simple, but controlled access to data, models and reports based on pre-defined rules.
Break down data siloes, eliminate duplication of work and improve data validity by establishing a dedicated location for individuals across the enterprise to share raw and/or curated data sets, reports, models, workspaces and expertise.
Foster a culture of data-driven decision-making with social features, powered by machine learning, that provide intelligent recommendations on data that should be viewed and used.
Shares, comments, likes and ratings power better data discovery, promote collaboration and ensure trusted data is being used in analyses.
Data creators are showcased in Swarm, making it easy to recognize and reward individuals who make an impact on organizational insight.