SAP Analytics Cloud

Srijan Institute, a unit of Digivibrant Techsolutions Pvt. Ltd., stands as a premier training center dedicated to meeting the demands of the ever-evolving SAP market. Founded with a vision to transform ambition into expertise, the institute, under the leadership of CEO Himanshu Kumar, emphasizes hands-on learning, expert mentorship, and real-time project experience. This approach is designed to build confident, future-ready professionals who can lead innovation and digital transformation across various industries. As an ISO 9001:2015 certified company, Srijan Institute focuses on providing high-quality training with the latest teaching methodologies, customized courses for diverse industries, and live projects facilitated by practicing SAP consultants with 8-15 years of experience and 5-7 project implementations under their belts.

At the heart of their offerings is the SAP Analytics Cloud (SAC) course, a comprehensive program tailored to equip learners with skills in one of the most powerful cloud-based analytics platforms available today. SAC integrates business intelligence (BI), planning, and predictive analytics into a single solution, enabling organizations to visualize data, generate real-time insights, and make data-driven decisions powered by AI capabilities. The platform seamlessly connects with both SAP and non-SAP data sources, offering an intuitive, self-service experience for users. Whether forecasting trends, creating interactive dashboards, or streamlining financial planning, SAC empowers businesses to thrive in a data-driven world. Srijan Institute's course dives deep into these functionalities, ensuring participants not only understand the theoretical aspects but also apply them practically through end-to-end project implementations.

The curriculum is meticulously structured to cover all essential areas of SAC, starting with an overview of cloud architecture and components, including Analytics Cloud architecture, comparisons between SAP and other BI tools, and the core functionality of SAC. In the Business Intelligence section, learners explore customizing measures and dimensions, working with Geo Map widgets, story presences, explorers, and designing SAC stories. Practical skills include building charts, canvas, responsive, and grid pages; handling devices and designs via builder and styling panels; applying filters and input controls; creating time series and variance charts; and utilizing additional options like Trellis tool tips, dynamic lines, CGR, error bars, and combining multiple models. Advanced topics such as cross calculations, linked analysis, and hyperlinks further enhance storytelling capabilities.

Moving into modeling, the course teaches creating import models, data wrangling with smart transformations, hierarchies, model components, configuring Geo dimensions and special modeling, calculated measures and dimensions, model preferences, and variables. Augmented analytics introduces machine learning concepts, time series forecasting, smart discovery, insights, and grouping, providing a foundation for AI-driven analysis. The predictive scenario module covers understanding confusion matrices, machine learning basics, supervised and unsupervised learning, working with dataset variables, implementing classification predictive models, and generating predictive stories.

Connections and administrations are crucial for integration, with topics including overviews of connections, cloud agents and connectors, data integration options, live and import connections, connecting with SAP HANA and S/4HANA, SAC lifecycle management/transport, and the analytics hub. Planning aspects evaluate planning models, maintaining account hierarchies, preparing financial statements, forecasting, working with versions, advanced allocation processes, conditional and advanced formulae, and data locking. Finally, the analytics designer segment differentiates between SAC stories and analytics designer, explores design, run, and view modes, designs basic applications, overviews Java scripting, works with components like drop-downs, radio buttons, and checkboxes, and uses APIs for smart feature integration. The course wraps up with the SAC roadmap and certification preparation.

What sets Srijan Institute apart is their commitment to holistic development. Choosing them means benefiting from expert and personalized mentorship, lifelong learning resources, free lab access, resume templates, SAP global certification guarantees, and free job portal access with support. They've successfully placed over 5,000 candidates, backed by a 100% placement assistance policy for those completing the 3-month mandatory training. With more than 300 placement and internship partners, real-time training makes the institute a top choice for recruiters. Additional perks include ISO-certified course completion certificates, flexible learning options, lifetime LMS subscriptions, 100% end-to-end job support, 6-month internships post-completion, and free server access.

The certification process is straightforward: begin with counseling and enrollment, engage actively in lectures, webinars, tutorials, discussions, and projects; receive the course completion certificate; and get full support for the global certification exam, including free dumps and profile updates. Srijan Institute's achievements reflect their excellence, with programs for colleges and corporates, a dedicated job portal, and glowing reviews from alumni like Shivanki Chaudhary, who praised structured courses and knowledgeable trainers, or Arif, who appreciated hands-on practice.

Located at Green Boulevard, Level 5, Tower C, 3C, Sector 62, Noida, Uttar Pradesh 201309, the institute invites inquiries via info@srijaninstitute.com or phones +91-9354575041 / +91-9220601944. In summary, Srijan Institute's SAC course is more than education—it's a pathway to career success in analytics, blending cutting-edge technology with unparalleled support to prepare professionals for the demands of tomorrow's industries.

Here are some frequently asked questions about the SAP Analytics Cloud course at Srijan Institute, based on the provided course details:

What is the duration of the SAP Analytics Cloud course? The course involves a 3-month mandatory training program to qualify for placement assistance, with flexible learning options to fit your schedule.
Who are the instructors for the course? Instructors are practicing SAP Consultants with 8-15 years of experience, in-depth product knowledge, and 5-7 projects implementation experience.
What certifications will I receive? You will receive an ISO-Certified Course Completion Certificate from Srijan Institute upon finishing the course, along with guaranteed support for SAP Global Certification, including exam dumps and preparation guidance.
Is there placement support after the course? Yes, we have a 100% placement assistance policy. Students completing the 3-month program qualify for job support, access to our job portal, and connections with over 300+ placement and internship partners. We have placed more than 5,000 candidates.
What are the prerequisites for the course? No specific prerequisites are mentioned, but the course is suitable for those interested in business intelligence, planning, and predictive analytics. Basic IT knowledge is beneficial.
Does the course include hands-on projects? Yes, the course offers real-time end-to-end project implementation-based training with live projects to build practical expertise.
What learning resources are provided? You get lifelong learning resources, LMS subscription for life, free resume templates, expert mentorship, and free lab/server access.
Can I access the course materials after completion? Yes, with a lifetime LMS subscription, you have ongoing access to course materials and updates.
Is there an internship opportunity? Yes, a 6-month internship is provided after course completion to gain real-world experience.
How can I enroll or get more details? Contact us at info@srijaninstitute.com or +91-9354575041 / +91-9220601944 for counseling and enrollment.

Srijan Institute offers a structured certification process for the SAP Analytics Cloud course, ensuring students achieve both institute-level and global SAP credentials. The process includes:

Counselling and Enrollment: Register for the course and follow the enrollment process to begin your journey.
Engage in the Learning Process: Attend all lectures, webinars, and tutorials; participate actively in discussions; and complete all assigned projects.
Course Completion Certificate: Upon completing the course as per the schedule, receive an ISO-certified Course Completion Certificate from Srijan Institute and Training Center.
Global Certification Exam: Get complete support for the SAP Global Certification Exam, including free exam dumps, guidance to update your resume and LinkedIn profile with your new certification, and guaranteed certification success.

The institute has an impeccable track record of placements and internships, with full support for certification to boost your career in SAP analytics.

The SAP Analytics Cloud (SAC) curriculum at Srijan Institute is designed to provide comprehensive, hands-on training from basics to advanced topics, covering business intelligence, modeling, augmented analytics, connections, planning, and analytics design. Delivered by experienced SAP consultants with 8-15 years of expertise, the course includes real-time projects and focuses on practical implementation. Here's the detailed curriculum outline:

SAC Overview: Cloud Architecture and Components; Analytics Cloud Architecture Overview; SAP vs. Other BI tools and its convergence to SAC; Core functionality of SAC.
Business Intelligence: Customizing measures & Dimensions; Geo Map Widgets; Story Presences; Explorer; Designing SAC stories; Working with Charts; Building Canvas, Responsive and Grid pages; Working with devices; Working with Designs (Builder Panel, Styling Panel); Filters and Input Control; Time series and Variance charts; Additional Options – Trellis Tool Tip, Dynamic Lines; CGR and error Bar; Combining Multiple Models; Cross Calculations; Linked Analysis; Hyperlink.
Modeling: Creating of Import Model; Data Wrangling Smart Transformation; Working with Hierarchies; Components of Model; Configuring Geo Dimension and Geo Special Modeling; Creating of Calculated Measures & Dimensions; Model Preference; Working with Variable.
Augmented Analytics: Machine learning introduction; Time series Forecast; Smart Discovery; Smart Insight; Smart Grouping.
Predictive Scenario: Understanding Confusion Matrix; Understanding Machine Learning; Supervised and Unsupervised Learning; Working with Datasets Variable; Implementing Classification Predictive Model; Generating Predictive Stories.
Connections and Administrations: Overview of Connections; Cloud Agent and Cloud connector; Data Integration Options; Live Connections; Import Connection; Connecting with SAP HANA; Live Connection with SAP S/4HANA; SAC lifecycle management /Transport; Analytics Hub.
Planning: Overview and Evaluation of Planning; Creating Planning Models; Maintaining Account Hierarchy; Preparing Financial Statements; Forecast and Predictive Forecast; Working with Versions; Advance Planning Allocation process; Conditional and Advance Formulae; Data Locking.
Analytics Designer: What is SAC Analytics Designer?; Difference b/w SAC stories VS SAC Analytics designer; Design Mode vs Run Mode vs View Mode; Designing Basic Analytics application; Overview of Java Scripting; Working with Drop Down, Radio Button, Checkbox Components; API Usage for integration with Smart features.
SAC Roadmap & Certification: Overview of SAC future developments and preparation for global certification.

The course emphasizes live projects, with a focus on end-to-end implementation, and is structured for flexible learning options.

Preparing for SAP Analytics Cloud (SAC) interviews requires understanding core concepts like data modeling, business intelligence, planning, and augmented analytics. Based on common industry questions, here's a curated list of key interview questions and answers to help you excel:

What is the primary purpose of SAP Analytics Cloud? The primary purpose of SAP Analytics Cloud is to provide a single experience for decision-making, where users can discover, visualize, plan, and predict in one unified solution.
What are the key capabilities of SAP Analytics Cloud? The key capabilities include business intelligence, planning, predictive analytics, and application development.
What are the differences between an Analytical and Planning Model in SAP Analytics Cloud? An Analytical Model visualizes actual data, does not require preconfigured categories, and does not support data writing. A Planning Model is used for budgeting and forecasting, has preconfigured dimensions for time and types, and supports data editing.
What are the advantages and disadvantages of using the Connected Model vs. the Manual Model in SAP Analytics Cloud? The Connected Model allows analysis without data replication, central data modeling, and leverages source security but doesn't support planning. The Manual Model enables data blending and planning but requires independent security setup.
How does SAP Analytics Cloud enable instant insight into action? It allows users to analyze real-time data from all sources and make informed decisions using AI-powered capabilities.
What is the significance of SAP HANA in SAP Analytics Cloud? SAP HANA is natively built into SAC, providing high performance and real-time data processing.
How can data in SAP Analytics Cloud be explored and represented visually? Through measures and dimensions, auto-suggestions for charts or tables, R-based visualizations, and various chart options like time series and variance charts.
What are linked dimensions in SAP Analytics Cloud? Linked dimensions allow users to create filters that simultaneously update all charts that include linked data.
What are the benefits of using input controls in SAP Analytics Cloud? They allow applying filters, restricting data, and analyzing reports based on user-defined input for interactive experiences.
What are the key components of SAP SAC Planning? Key components include creating planning models, maintaining account hierarchies, working with versions, advanced allocation processes, conditional formulas, and data locking.

At Srijan Institute, we offer free lab access as part of our SAP Analytics Cloud (SAC) course, allowing students to practice in a hands-on environment. This includes unlimited use of our state-of-the-art facilities and server access for real-time project implementation, data modeling, and analytics exercises. Our labs are equipped with the latest SAP tools, enabling you to apply concepts like data wrangling, chart building, and predictive modeling in a practical setting. This feature ensures you gain confidence through experiential learning, supported by expert mentors available during sessions.