Datorama Training – The Best Salesforce Datorama Course
⏰12 hours | ▶️ 20 Videos | 📣 4063 Participants |🎓 2013 Reviews | 4.7 ⭐⭐⭐⭐⭐
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Self Paced
Unlimited Access- Advanced sessions
- Interview Q&A
- Free study Materials
- Premium Technical support
Instructor Led Live Training
Unlimited Access- Live Instructor
- Advanced sessions
- Interview Q&A
- Premium Technical Support
Corporate Training
Unlimited Access- Live Instructor
- Advanced sessions
- Interview Q&A
- Premium Technical Support
Upcoming Batches PST
Weekday
Oct 12(1 HR A DAY) |
06:30 PM PST |
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Weekday
Oct 27(1 HR A DAY) |
07:30 AM PST |
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Weekend
Oct 28(1 HR A DAY) |
08:30 PM PST |
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Upcoming Batches IST
Weekday
Oct 13(1 HR A DAY) |
07:00 AM IST |
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Weekday
Oct 27(1 HR A DAY) |
08:00 PM IST |
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Weekend
Oct 29(1 HR A DAY) |
09:00 AM IST |
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Course Description
Datorama is an innovative cloud platform that empowers businesses to gather data from various sources for more informed business decisions.
Organisations benefit greatly from robust data integration capabilities that make data gathering, consolidation and analysis effortless across various marketing channels such as social media, advertising and email marketing.
Datorama provides organisations with an intuitive user interface and fully configurable dashboards, making it possible to gain real-time insight into their marketing success in real-time.
They can then identify patterns, calculate return on investment amounts and improve marketing plans over time.
Datorama helps organisations improve the effectiveness of their marketing initiatives and make data-driven decisions by offering insights and predictive analytics powered by artificial intelligence.
No matter the size or scope of your operations, Datorama has the resources and expertise needed to help maximise the efficiency of your marketing initiatives and propel its expansion.
By completing this course, participants will understand both the platform and fundamentals involved with dashboard creation.
Topics to be covered in depth include data connections and integration, visualization techniques for dashboards, and creating designs.
After this course, I will gain expertise in connecting various data sources, prepping and blending, designing interactive dashboards and visualisations, and creating data sets.
By the time it’s over, I will have established myself with the Datorama dashboard development platform as an expert dashboard developer capable of building dashboards to analyse and monitor data sets.
Anyone seeking in-depth data analysis and dashboard creation knowledge will find this course invaluable.
Suitable candidates include marketing, finance, operations professionals, and others within various industry disciplines who must analyse data to make educated decisions about them.
Students participating in this hands-on class will utilise the knowledge and abilities they gain by participating in various activities led by an instructor, such as group projects or individual workouts.
Once the course has been completed, participants will have access to Datorama for creating dashboard designs; additionally, they will be presented with a certificate of achievement.
They will also have access to various data sources, prepare and combine information into interactive dashboards, and generate visualisations.
Students will leave this course with an understanding of dashboard design and data analysis that they can apply directly to their projects and work once completed.
Features
✅Lifetime access | ✅Lifetime video access |
✅Real-time case studies | ✅The project integrated into the Curriculum |
✅24*7 Support from our team of administrators |
1. Introduction and What is Datorama
2. Implementation and Milestones
3. Platform Overview
4. Data Streams, Harmonization Center and Tableau Data Connection
5. Data Models, Cumbersome data pre-processing
6. Variable Dimensions, Data Set Type
7. Data Model and Overview
8. API and Data Load Rules
9. Pivot Tables and Calculated Dimensions
10. Calculated Measurements
11. Calculated Measurements-2
12. Parent Child
13. Update Entities and Media By Key
14. Data classification methodologies
15. Naming conventions and patterns
16. Data Classification and harmonized dimension
17. Overarching Entities
18. Re-Immersion
19. Visualization
20. Generic Entitty, Add Widget, Campaign Category, Media Cost Center
FAQ’s
❓How do I get Datorama certified?
✅Our certification program comprises three parts: online training with three modules, an in-person boot camp lasting four days, and an upcoming mock implementation test of Datorama.
❓What is the difference between Datorama and Tableau?
✅Datorama specialises in marketing analytics and provides real-time insight into marketing success via
AI-powered insights: Tableau is more versatile, connecting data from various sources while visualising them for comprehensive business performance analysis and personalised visualisation of individual metrics.
❓What language does Datorama use?
✅Custom Analytics: For data enthusiasts with an affinity for predictive modelling or developing data connectors, Datorama provides analytical and developer support services using R and Python as development languages.
❓Does Datorama use SQL?
✅Datorama is an AI dashboard specifically for digital marketers.
Although effective as a dashboarding tool, Datorama lacks data warehousing and an SQL workbench; users may consider Datorama more expensive due to its limited data storage capacities.
❓Does Datorama work in real time?
✅Yes. In contrast with manual techniques for creating static reports in Excel or PowerPoint, Datorama, now known as Marketing Cloud Intelligence, provides real-time dashboards, insights and alerts across channels, tools, and audiences.
❓What are the versions of Datorama?
✅Datorama Reports come in two varieties: basic and advanced. Both feature dashboards, pivot tables, and friendly reports displaying primary data.
The basic version offers dashboards, pivot tables, and words with simple information displayed for simple analysis and provides excellent reports for easy consumption.
❓How long does it take to implement Datorama?
✅Implementing projects with eight to twelve data sources usually requires 8 to 10 weeks; more complex implementations with 15 to 25 data sources may take 14 to 18 weeks to complete.
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