Careers in SAP-MM and Data Science

Technology-driven occupations are highly sought after in the ever changing employment environment of today. Amidst the plethora of options, professions in SAP Material Management (SAP MM) and Data Science are particularly noteworthy because of their importance in streamlining corporate processes and extracting insightful information from data. 

• SAP MM (Materials Management) is an essential module in the SAP ERP Central Component (ECC) and equips organizations with materials, inventory and warehouse management capabilities. 

• Data science is a field that deals with the extraction of insights and knowledge from data. Simply put, it's a way to make sense of large amounts of data and use it to make decisions or predictions. 

• SAP provides several data science and analytics tools and platforms, such as SAP Analytics Cloud, SAP HANA, SAP Data Intelligence, and SAP Predictive Analytics. Learn SAP-specific Data Science Tools: SAP offers its own machine learning and data science libraries and frameworks. 

Understanding SAP-MM 

One of the main ERP modules, SAP MM addresses the tangible parts of the business. Material and effective administration of the warehouse and inventory is handled by a SAP MM specialist.

An SAP MM specialist ensures that the company's supply chain is filled with goods in the right amounts and without any gaps or shortages.

They contribute significantly to the company's operations by helping supply chain experts and other SAP users acquire goods efficiently and on schedule, making it simple to handle the daily fluctuations in the management and procurement of materials. 

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Roles and Responsibilities of SAP-MM 

An SAP MM Professional handles the following primary duties and roles: 

• Verification of Invoices 

• Assessment of the Materials 

• Inventory Control 

• Acquiring

• Planning Based on Consumption 

• Material Master Data and Vendor Master Data 

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Attributes of SAP-MM 

These are a few of SAP MM's primary features:

• Oversees inventory and raw material management 

• Ensuring that there is never a scarcity of materials in the supply chain 

• Boosting productivity and cutting down on overall procurement costs 

• Plans material requirements, evaluates vendors, procures, validates materials, maintains warehouses, and verifies invoices, among other business-related tasks. 

Required Skills for SAP MM 

• Mastery of the SAP MM module and comprehension of ERP systems.

• The capacity to evaluate inventory and procurement data to make wise judgments.

• Ensuring precision in the procurement and inventory management systems.

• Good communication with internal stakeholders, suppliers, and vendors. 

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Career Prospects in SAP MM 

An SAP MM professional is highly significant across business organizations and a certified professional will find good career prospects.

Some of the opportunities of a Career in SAP MM module across organizations are: 

Career	Requirements	Job Role	Average Salary (INR)
SAP MM Consultant	Bachelor's degree in IT or related field; SAP MM certification	Implementation and support of SAP MM module	8-12 LPA
SAP MM Plant Maintenance Analyst	Bachelor's degree in Engineering or related field; experience in SAP PM	Analysis and maintenance of SAP PM and MM modules	6-10 LPA
Purchase Executive	Bachelor's degree in Business or related field; knowledge of procurement processes	Managing procurement activities	4-6 LPA
SAP MM Functional Configurator	Bachelor's degree in IT or related field; SAP MM certification	Configuring SAP MM to meet business needs	7-11 LPA
SAP End User	Bachelor's degree in any field; basic SAP MM training	Utilizing SAP MM for daily operations	3-5 LPA
SAP MM Functional Analyst	Bachelor's degree in IT or related field; SAP MM certification	Analyzing and optimizing SAP MM processes	7-10 LPA
Team Leader (SAP MM)	Bachelor's degree in IT or related field; experience in SAP MM	Leading a team of SAP MM professionals	10-15 LPA
Material Manager	Bachelor's degree in Supply Chain Management or related field; experience in inventory management	Managing material resources	6-9 LPA

Understanding Data Science 

Statistics and data mining gave rise to data science. It is at the nexus of data science, research, machine learning, and software development.

It falls into the domains of business, statistics, and computer science in academia.

To convert data patterns into research that informs businesses, government agencies, and other groups, data experts develop algorithms 

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Attributes of Data Science 

• Critical thinking and problem-solving skills to evaluate difficult data and produce useful insights.

• Proficiency with data manipulation tools (Pandas, NumPy), statistical analysis, machine learning, and programming languages (Python, R, SQL).

• Contextualizing data analysis requires an understanding of industry-specific information and business acumen.

• Gathering, preserving, and combining data from multiple sources while maintaining consistency and quality of the data.

• Interpreting data and making predictions by using mathematical modeling and statistical inference.

• Use programs like Tableau and Power BI to create eye-catching data visuals and effectively conveying findings through narrative. 

• Creating and utilizing deep learning frameworks (TensorFlow, Keras) and machine learning techniques, such as supervised and unsupervised learning.

• Scalable data processing and analysis through cloud platforms and big data technologies (Hadoop, Spark). 

Required Skills for Data Science 

Before getting started in a career like data science, it might be beneficial to have a variety of technical abilities, like:

• Thorough understanding of and comfort with statistical analysis 

• Machine learning

• Profound understanding

• Data visualization

• Mathematics

• Coding

• Capacity to handle unstructured information

• Knowledge of Python, R, SAS, Hadoop, Spark, and other data analysis tools

• Big data networks, systems, and processes

• Statistics for software engineering 

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Career Prospects in Data Science 

Data Science has emerged as one of the most attractive job profiles in the past few years, with immense data science career opportunities.

There are many different data science jobs available. They are all essential for making important business decisions. Numerous job kinds listed below frequently collaborate on the same team. 

Career	Requirements	Job Role	Average Salary in India
Data Scientist	Bachelor’s/Master’s in Computer Science, Statistics, Mathematics or related fields	Analyze and interpret complex data	₹8,00,000 - ₹15,00,000 per annum
Data Analyst	Bachelor’s in Computer Science, Statistics, Mathematics, or related fields	Interpret data and provide insights	₹4,00,000 - ₹8,00,000 per annum
Data Engineer	Bachelor’s in Computer Science, IT, or related fields	Develop and maintain data infrastructure	₹6,00,000 - ₹12,00,000 per annum
Data Architect	Bachelor’s/Master’s in Computer Science, IT, or related fields	Design data systems and architecture	₹15,00,000 - ₹25,00,000 per annum
Business Intelligence Analyst	Bachelor’s in Business, Computer Science, Statistics, or related fields	Analyze business data to support decisions	₹5,00,000 - ₹10,00,000 per annum
Statistician	Bachelor’s/Master’s in Statistics, Mathematics, or related fields	Analyze data using statistical methods	₹4,00,000 - ₹9,00,000 per annum
Machine Learning Engineer	Bachelor’s/Master’s in Computer Science, Machine Learning, or related fields	Develop and implement ML algorithms	₹7,00,000 - ₹15,00,000 per annum

Read More: Career in Data Science and Artificial Intelligence 

Conclusion 

• Among technology-driven careers, SAP Material Management (SAP MM) and Data Science stand out for their roles in optimizing business operations and extracting valuable insights from data. 

• Data Science, on the other hand, involves analyzing large datasets to derive meaningful insights and make data-driven decisions. This field requires expertise in programming, statistical analysis, machine learning, and data visualization. 

• Both career paths offer lucrative opportunities and require a unique set of skills. 

• Choosing between them depends on your interests: SAP MM for those inclined towards supply chain management, and Data Science for those passionate about working with data to drive business insights. 

• Investing in the right education and staying updated with industry trends will pave the way for a successful career in either field.