-How to address and answer the age-old question of build vs. buy;
-What are the different types of embedded analytics, including no-code, custom code, and white labeling;
-Why scalability is a competitive advantage that impacts not only data accessibility but also profitability;
-How to enable non-technical users to create their own reports and dashboards with self-service tools; and more.
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Why data analytics
* International Data Corporation
** A survey conducted by Pulse and GoodData
Data produced in the next three years
> data produced over the last 30
years.*
98% of IT executives say they need to
shift from data collection to insights
consumption.**
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Introduction
How to approach analytics today
Scalability
Integration
Where can you find us?
Today’s topics and objectives
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Headless BI engine
Declarative metric definitions
Semantic data modeling
Real-time query generation
Built-in governance and data privacy
Scale, security, multi-tenancy
Cloud-native
API for metrics discovery
Machine-readable API: metrics, models,
dimensions, permissions, etc.
Human-readable documentation for metrics
discovery
Composable UI + third party apps
Self-service workbench for data exploration,
correlation, and sharing
Low-code/no-code dashboarding tool
Augmented data exploration
Analytics embedded into applications
Javascript SDK/library
Integration with major BI tools
Data as a Service (DaaS) architecture
Analytics logic separated from insights consumption
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Ask yourself the following questions:
▸ How many developers do you have?
▸ What do they already have on their
plate?
▸ What happens once you build your
first version of analytics?
▸ What happens down the road?
Approaching analytics today
Why should you care?
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▸ Security standards and requirements
are constantly evolving.
▸ Entering new markets and regions
can result in unexpected
requirements.
▸ Your roadmap and core business
may be affected.
Approaching analytics today
Security and compliance
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GoodData security and compliance layers
Strong protection of your PII or otherwise sensitive data in GoodData
platform. Fully controlled environment with tools that enhance trust,
transparency, compliance, and governance
Enterprise
shield
Standard platform security offering protecting your data in the GoodData
platform — compliant with SOC 2 and ISO 27001:2013
Default platform
security
Compliance Packages
HIPAA GDPR Special Categories
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▸ Leverage your existing infrastructure.
▸ Various types of data sources should
be supported:
▹ Cloud DWH: Snowflake,
Redshift, BigQuery
▹ CSV file upload
▹ Pre-built connectors for an
end-to-end solution
▸ Automate data distribution, and think
about long-term maintenance.
Integration
Data integration
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Integration
UI integration
▸ Seamlessly integrated, respecting
your branding and styling
▸ Ability to create custom
visualizations
▸ Offering out-of-the-box tools
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Scaling
▸ Check what automation tools are
offered.
▸ Ability to scale should not interfere
with your customers’ bespoke
requirements.
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Sample pricing
Pricing needs to:
▸ Be predictable
▸ Not limit your growth
▸ Be feature-oriented
EXAMPLE:
Image placeholder
CUSTOMERS DATA VOLUME ADD-ONS
+ +
(“Pay as you go” is a CFO’s nightmare)
(By not paying per user, you give analytics to everyone)
(Don't pay for something that you don't need)
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Approaching analytics today: the age-old question of build vs. buy
Integration options: what to keep in mind
The importance of scalability
Where can you find us
Summary
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GoodData Learn
Free on-demand resources, live sessions, and weekly office hours
Visit gooddata.com/learn to join the GD Community and take GD University courses!
24. To experience the power of embedded
analytics firsthand, I invite you to apply
for your GoodData Free account at
gooddata.com/free
Thank you!