#InspiringIntelligence Data Analytics. Made Easier.
Challenges the SME face
Data from everyone and everywhere. Most of the time fighting fire and trouble shooting.
SMEs evolve rapidly, rigid infrastructure such as data warehouses and specialised expertise may be too costly and pose a bottleneck when requirements change
Every individual member has multiple overlapping responsibilities, difficult to track and optimize tasks, and the lack of time or bandwidth to juggle all
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Chaos Everywhere!
Constantly Changing
Lean Team with Multiple Hats
The Datavis Platform is the only low-code analytics engine that directly transforms streaming data from source to insight
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Value Proposition
Business intelligence
performance tracking
With DatavisWithout Datavis
decision support
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Value PropositionSO
URCES
DESTINATIO
NS
With DatavisWithout Datavis
Business intelligence
performance tracking
To Rapidly Transform Digitally, Organisations Need To Build Pipelines And Not Rigid Infrastructures
To Cope With Increasing Data Volume And Veracity, Organisations Need To Handle Data In Real-Time And In Streams
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decision support
Every Person A Citizen Data
Scientist• Data Analytics and Processing
• Data sources
• Data transformations
• Framing business objectives
• Data Visualisation Basics
• Analysis and Interpretation
• Charting and Representation
• Data Storytelling
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Single Visual Environment For
Data Analytics And Visualisation
• Cloud Access via Modern Web Browsers
• Datavis Platform only processes data and does not store any raw data
• Select data sources, determine what transformations to apply to the data, choose how to visualise the processed data, design flow and layout and publish
• Share or reuse topologies, widgets and templates
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How the sme will Benefit
Visual First
Save Time
Lower Total Cost of Ownership
Designed for non-technical line-of-business users, logical click and drag user interactions
Reduce time taken for preparation, report automation, focus on executing data projects not on systems
Subscription model, data processing and visualisation stack, simplified compressed architecture
PRO
DUCTIVITY
CO
ST
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Designed for the future
Channel Partners
Technology Providers
Enterprise Organisations & Teams
Designed for non-technical line-of-business users, logical click and drag user interactions
Reduce time taken for preparation, report automation, focus on executing data projects not on systems
Subscription model, data processing and visualisation stack, simplified compressed architecture
Expand dashboards to other functional or business units with cross-collaboration data sharing
Extend to operational, tactical and strategic planning dashboards
Enrich with external public data or embed/share data insights with your external stakeholders
FUTURE-PRO
OFED
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How easy it is to use
DesignLayout Dashboard
Arrange charts and widgets in a flow
Click & Drag into a story
TransformMap and Join data
Clean, prepare and model
Express data in dynamic charts and widgets
IngestChoose from various data
sources
Work with more than 1 data source in a topology
ShareAutomate reporting
On-demand & real-time intelligence
Interactive & Dynamic
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#InspiringIntelligence | Data Analytics. Made Easier.
E [email protected] www.datavis.sg M +65 91465907Putra Sadli
The Datavis platform
Data Ingestion
OneDrive API
Google Sheets API
CSV
SQL
Web API
REST API
Data Processing
Cleaning
Feature Engineering
Map
Reduce
Join
Filter
Data Visualisation
Charts & Graphs
Static Widgets
Widget Sharing
Dynamic Interactivity
Page Navigation
Layout Design
Collaboration
Topology Sharing
Export & Download
Web Publishing
Report Generation
The Datavis advantage
ExtensibilityPower BI:
- Focus on Business Intelligence
Datavis Platform:
- Operational/Strategic Dashboards
AutomationPower BI:
- Only for Report or Dashboard Template
Datavis Platform:
- Tackles time-consuming data preparation
Data PipelinePower BI:
-Only a BI tool using clean formatted data
Datavis Platform:
- Extended Transformation Capabilities
StreamingPower BI:
- Basic only allows batch processing
Datavis Platform:
- Real-time Stream Processing Architecture
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Use Case 1: Monitor Sales Performance
The first step in digital transformation is typically visibility and the ability to track effectively. The Sales Performance dashboard covers the typical metrics and KPI but potential can be further explored by correlating with other business data such as inventory movement and external industry trends.
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Use Case 2: Improve Digital Marketing
The second step in digital transformation is typically improving the performance of organisational assets. This example is improving the marketing function, specifically in the digital domain. Typically, digital marketing measurements may be very technical so we crystallised and designed a use case incorporating social media and search ad analytics.
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Use Case 3: Optimise Customer Intelligence
The third step in digital transformation is typically allocating resources optimally to maximise business outcomes. This example is to target specific groups of customers, product development or campaign execution by identify most impactful customer segments. The dashboard marries demographic, behavioural and psychographic analytics, to narrow focus clusters.
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