Through a gamified way of platform adoption and access.
For better client project deployment, hiring, promotions & harvesting.
By providing new data problems & algorithms across multiple business domains.
To give wider coverage of data sources and business information systems.
By giving users an easy path to enter newer areas of analytics.
LEAPS is a contextual AI platform enabled by Data
Analytics and Machine Learning Frameworks. It is built
using our patented design to support an iterative
Experiential Approach.
OKR is a goal-setting framework to define measurable goals. An 'objective' is a declaration of direction and intent, and the 'Key Result' is used to track the progress toward the objective. On the other hand, KPIs (Key Performance Indicators) monitor ongoing performance. By combining the OKR Framework with KPI-specific content and Business Maps, LEAPS enables businesses to leverage data science concepts for creating a robust framework to establish objectives across industries and monitor progress towards the specified goals. Industries can use this for implementing actions to improve performance and drive data-based decision-making.
With an enormous variety of data being available, businesses are increasingly using the data to drive key decisions. Different forms of data problems have so far outpaced manual processing.
Simultaneously, numerous computer algorithms have been developed to integrate datasets for more extensive and deeper analyses. Using an algorithm already trained on industry and function-specific data, LEAPS allows learners to use industry-ready data/solutions and produce actionable and accurate insights in real-world situations across sectors. Business problems are translated into an AI and data science solution together with an iterative set of thought experiments, modelling techniques, and evaluations against the business goals.
The Visual Maps, Point-in-Click functionality, and the innovative approach of Learn-Apply-Solve offered by LEAPs allow users to independently experiment with the data science concepts with real-world case studies and track their performances and achievements.
LEAPS assists users throughout their journey on the platform. Different complexity levels of various data cases provide an actionable roadmap for users to solve AI and data science-based business problems. The recommendation engine constantly provides suitable function-related and other suggestions to users to provide real-time support. The expert support group and the SME calendarized sessions provide unique experiences to learners, simplifying their learning journeys through one-on-one suggestions and recommendations.
LEAPS offers a Structured Learning approach to the users for learning and solving business problems.
The structural framework guides the users with suitable courses and specialization tracks to learn depending on their specific requirements. The milestone-based approach adopted by the platform directs the learner when a particular milestone is achieved. It returns an error message for the user to know if something is wrongly executed together with the appropriate recommendations for better solutions.
The whole profession of data science that we so admire today is a perfect combination of analytical expertise and problem-solving abilities. It has proven to be an invaluable career path in a competitive job market.
Standing in 2022, we witnessed a worldwide epidemic along with numerous other natural calamities mere months ago. Not just that, records show that since 2017, there has been a steady increase in expenses incurred for natural disasters almost across the globe. During these phases, the insurance industry offered its services to millions of people each day. In fact, it is safe to assume that they witnessed sky-high premium volumes with no signs of slowing down. But the question here is how insurance companies manage the vast amount of data involved with these massive premiums.
Famous Jordanian businessman Talal Abu – Ghazaleh once said, “An efficient telecommunications network is a foundation upon which an information society is built.”Standing in the year 2023, it is safe to say that the information age is truly upon us. But alas, the telecom industry is in a never-ending turmoil owing to the sky-high competitive rivalry and the need for its enterprises to remain financially viable. As a matter of fact, that’s not even the end of the story.
Take a closer look at Analyttica’s flagship leadership development experience, explore a sample agenda, and read what our past alumni have to say about their experience and more in the Executive Program Brochure.
Strategic Leadership and Vision Management of Overall Partnerships Executive Relationship Management Business Development Analytical SME and Thought Leadership.
Thought Leadership & Analytical SME | Analytica Transformation & Data Driven Decision Making | Enterprise Growth & Delivery | Product Strategy
Having 15 + years of experience in leading the technology and product vision for B2B and B2C internet consumer products. Passionate about the sheer power of bottom of the pyramid digital transformation models. Deep experience in building cloud native applications
Experienced CA who is Competent, diligent & result oriented professional, offering experience across Accounts & Finance Management, Company & Partnership Firm Accounts, Tax Assessment, Computation of Taxes, Budgeting, Company Law Matters and Audit.
Certified Security Analyst & Ethical Hacker with enough experience in IT operations and project management.
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