SAS Training in India | Best SAS Authorized Training Institute in Bangalore/India

 Sankhayana (SAS Authorized Training Partner in India) is one of the best SAS training institute in Bangalore/India offering premium and high-quality classroom, online/live-web, corporate and academic training on SAS & Data Management tools.

SAS is one of the most popular tools for data analysis and statistical Modeling. It is one of the most used software tools for data management, data collection, data extraction, data mining, data exploration, report writing, statistical analysis, business modeling, application development, and data warehousing, data integration, data visualization, building predictive models, etc. SAS is an asset in many job markets as it holds the largest market share in terms of jobs in the advanced analytics field.

Benefits of SAS Training at Sankhyana

• SAS Authorized Training Partner in India
• SAS Accredited Trainers
• SAS Digital Badges (Digitally- Engraved)
• 360-degree placement assistance
• Best classroom training in Bangalore with the traditional training technique
• Best online/live- web training in India
• Access to the original SAS software
• Case studies

Why upskilling with SAS?

• SAS is the most valuable career skill according to MONEY & Payscale.com
• SAS is the leader in the field of analytics
• SAS is versatile with different types of input and output formats
• SAS is a 4th Generation language
• It provides a facile way to utilize a GUI and many applications
• It works with large data and builds graphs
• SAS can read files created by statistical packages
• SAS sanctions Minitab, Stata, SPS, Excel and other data files to include directly in the SAS program or through file conversion software
• SAS users have a worldwide network, which is easy to use
• SAS solutions have been built on a proven erudition design which is open and versatile, sanctioning the consistent combination of procedures and stages
• SAS supports large deployments with enterprise-class scalability and management tools.

Below are the top in-demanded SAS modules:

• Base SAS
• Advance SAS
• Clinical SAS
• Data Integration
• Visual Analytics
• Predictive Modeling
• Platform Administration 

Who can attend?

• Graduates (B. Pharm, M. Pharm, Pharm D, BE, BCA, BTech) – Preferred
• Anyone starting to write SAS programs
• SAS Programmers
• Data Analysts
• Business Analysts
• Data Integration Developer
• Statisticians
• Modelors
• Platform Administrators

Conclusion:

Sankhyana provides real-time job-oriented training to students and corporates. If you are looking for career-oriented training in Bangalore/India, we are here to help you. We are the SAS Authorized Training Partner in India.

Register your interest here: https://lnkd.in/gzx3mTHT

Reach us: +91 8017768006, arvind.kumar@sankhyana.com, www.sankhyana.com

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How Data Analytics is Game Changer for Telecom Industry?

Data Analytics is widely used on a very larger scale in telecom Sector. The rapid rise in the use of smartphones and growth in internet is creating exceptional amounts of data sources including, device data, customer data, network data, location data, etc. Mobile technology is fast evolving, and this has created an abundant choice for consumers. Technology advancement has induced a paradigm shift in consumer lifestyle and attitude towards technology. Data Analytics enables one to relate to the customers, understand their needs, provide what they want and ensure their customers are delighted and become loyal.

Data Analytics has the potential to place the telecom companies in a position to offer the best services to earn more customers and create new revenue streams. According to the Global telecommunications study: navigating the road to 2020, “Improve big data & analytics capabilities” was rated number four, with nearly 40% of respondents selecting it as a priority when they were asked how they are going to boost their organizational agility.

Benefits of Data Analytics in Telecom Industry:

Improve customer experience and service quality: Data Analytics solutions help telecom operators to turn structured and unstructured data into actionable customer insights, which helps them to improve customer experience. Data Analytics also help operators to optimize call routing and quality of accommodation by analyzing their network traffic with Real-Time CDR (call drop rate) Analysis.

Reducing Fraud: Telecom fraud is a major part of the loss of revenue in the telecom industry. To tackle this problem, telecoms use fraud detection systems that are predicated on data mining algorithms to tag fraudulent customers and suspicious deportment in virtually real-time. Data analytics are additionally utilized for detecting fraudulent claims by claims processing teams, identifying unauthorized devices, tracking payment processing and customer data protection.

Churn Prevention: Customer retention is one of the most critical challenges, which telecom operators face. As acquiring a new customer is more sumptuous than retaining the old one, so churn prediction is one of the most consequential priorities for operators. Predictive Analytics uses the collected customer data like, complaints, customer transactions, etc to have better customer insights, which help operators to accurately identify customers who are likely to leave.

How Sankhyana Consultancy Services help Telecoms to adopt Data Analytics?

• Consumer Behaviour Scores for Churn analytics

Primary sim user analysis to ascertain the Consumer Behaviour Scores which enables comparison across competitors’ primary sim users and devises appropriate promotional strategies for each cluster of customers; Performs the same analysis with customers using Primary and Secondary sim with one of them being the competitors’ sim.

• Technographic Segmentation & profiling

Technographic segmentation is a powerful tool for segmenting and profiling customers based on their attitude towards technology, owning the right technology & usage of technology. Our Analytics team shares expertise in Technographic segmentation & profiling of customers. Technographic segmented clusters are more action-oriented and hence forms the basis for devising all operational strategies for special offers and seasonal offers, etc.,

• Identifying Opportunity Clusters for Product Targeting

Opportunity clusters form positional segments and are used for all positional strategies such as brand promotion, the launch of a new plan, etc., These segments are formed based on customers’ emotional attachment towards the service providers and their attitude towards technology & lifestyle

• Additional Analytical Insights

1. Our analytics team can also cater to the following services
2. A deeper understanding of consumer behavior, attitudes, and perceptions
3. Customer Satisfaction study
4. Brand Awareness Study

The rapid use and demand of Data Analytics in the Telecom industry are creating immense opportunities for data analysts, data engineers, etc. professionals. The data analytics course with an authorized training institute is very helpful for aspirants to grab a job in this field.

Sankhyana Consultancy Services (SAS Authorized Training Partner) is a premium SAS Data Analytics training institute in India providing real-time job-oriented training with 360-degree placement support for aspirants. Our SAS Data Analytics course provides great insight to use the data in telecom. For more details, visit us: https://sankhyana.com/training/in-house-training, https://sankhyana.com/training/live-web-training

SAS Analytics: Discovering the possibilities in Pharma

SAS Analytics is playing a very critical role in helping the health and life- sciences industries evolve to meet the needs of the future. Combining and analyzing genomic, medical, and environmental data sources are sanctioning health care providers to get a more consummate picture of a patient’s health, the risk for disease, and lifestyle and circumstances so that they can recommend the right interventions at the right time.eeee

Clinical Research Analytics

As the market leader in clinical research analytics, SAS provides a secure analytics substructure and scalable framework for clinical analysis and submission. SAS robust analytic implements and techniques, including AI and machine learning, avail to gain a competitive edge in the high-stakes world of clinical research analytics – from getting tribulations up and running, to modernizing tribulation designs, to distributing life-transmuting therapies to market more expeditious and more efficiently. SAS withal provides the leading platform for data transparency, sanctioning you to securely share historical tribulation data with third-party researchers for the betterment of medicine.

Why SAS for Clinical Research Analytics?

SAS is the standard for clinical research analytics in the life sciences industry, helping you maximize value and reduce risks.

• Gain Higher Risk: Adopt a single integrated platform for clinical analysis and submission, sanctioning your team to fixate on insights and drive results. A wealth of technologies provides scalability, visualization, and submission-grade statistics for understanding clinical tribulation results more expeditious and detecting potential issues sooner.
• Mitigate Risk: Reduce risk with a centralized repository that meets all security requisites with auditable actions, traceability, and repeatability. Distribute data to regulators utilizing built-in CDISC standards. Decrement downtime with all-in hosted solutions. And provide technical support for all your ecumenical teams and collaborators.
• Increase Efficiency: Improve performance with mature, standards-driven processes. Streamline data and analytics building blocks for maximum reuse. 

Real-World Evidence

SAS avails you efficaciously leverage authentic world evidence at every stage of the product life cycle – from finding incipient areas for revelation to developing drugs and therapies more efficiently to better understanding product and drug safety, efficacy, adherence, and economic and societal value. Stay competitive and get preponderant, safer therapies to market more expeditious. Navigate the challenges of managing and analyzing astronomical amplitudes of clinical data from disparate sources. Foster collaboration. And respond expeditiously to regulatory inquiries.

Why SAS Analytics for Real-World Evidence?

SAS has all the requisites for a robust genuine world evidence platform – data integration and data management; an interactive, near-genuine-time patient cohort engenderer; and embedded machine learning and AI. SAS fortifies authentic world evidence with SAS Health.

• Easily integrate real-world data from multiple sources & vendors: Access, manage, and transform authentic world data to a prevalent, standardized format, in a repeatable and transparent way.
• Automate the mundane: Enable more people within your organization to interact with genuine world data and benefit from insights utilizing an intuitive, interactive interface.
• Rapidly surface summary results: Utilize advanced analytics, AI, machine learning, and interactive visualization implements to surface summary results and intricate analytics expeditiously.

Pharmaceutical Manufacturing

SAS delivers a range of analytics capabilities to ameliorate your pharmaceutical manufacturing performance so you can distribute safe, efficacious drugs, and other therapies to patients with more preponderant efficiency and confidence. With SAS, you can ameliorate quality, throughput, and equipment performance, as well as derive insights from the supply chain to avail you ameliorate demand forecasting.

Why SAS Analytics for Pharmaceutical Manufacturing?

Only SAS provides the robust analytic implements and life sciences industry expertise to avail you optimize pharmaceutical manufacturing performance while keeping safety and quality top of mind.

• Adopt a GMP-compliant environment: Only SAS distributes an integrated analytics platform in a GMP-compliant environment for the pharmaceutical industry.
• Rely on the leader in analytics: SAS is a trusted leader in analytics with more than 40 years’ experience in the life sciences industry and a wealth of manufacturing expertise.
• Ensure seamless data integration: SAS sanctions you to peregrinate from batch data to real-time data processing seamlessly and efficiently.

Pharmaceutical Commercial Analytics

SAS avails you leverage insights from machine learning, AI, and advanced forecasting and optimization to gain a competitive edge and secure the prosperity of your product portfolios now and far into the future. Our genuine world evidence capabilities provide you with incipient commercial insights to further invigorate your market strategy.

Why SAS Analytics for pharmaceutical commercial analytics

SAS provides potent analytic solutions and deep life sciences industry expertise to appraise your commercial strategy and support your product portfolio in the post-approbation landscape.

• Using cutting-edge analytics: Optimize your commercialization strategies – from pricing to competitive situating, to sales and marketing utilization – utilizing a wealth of advanced analytic solutions.
• Adopt an end-to-end platform: Orchestrate your analytics journey – from data to revelation to deployment – with our robust, integrated platform.
• Operationalize analytics: Capitalize on the unparalleled flexibility of the SAS Platform and our industry solutions to integrate with open source, leverage the cloud, and peregrinate from insights to tangible results.

About SAS: SAS is the leader in analytics. SAS is the no.1 advanced skills to have in this data-driven world.

About Sankhyana: Sankhyana (SAS Authorized Training Partner in India) is a premium and the best Clinical SAS Training Institute in Bangalore/India offers the best Online/Live-Web training on SAS and Data Management tools.

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Using Analytics for Better Customer Experience

Today, customers expect a seamless, highly personalized, and germane experience whether online, through an app, a call center, or in person, and they expect the personal information they make available to businesses to be utilized in their benefit.

In order to deliver the right messages and personalized recommendations, companies today face the challenge of making genuine-time decisions predicated on customer context and interactions. These decisions become paramount not only when the consumer interacts with any commercial channel of the company, but withal when they utilize the products and accommodations.

Most companies use multiple technologies for different business circumstances and channels, which do not communicate with each other, so they do not centralize consummate customer information and data, and that translates into a lamentable utilizer experience. Additionally, decision points and associated triggers are often consummately lost, leading to poor results.

Therefore, what is needed is an approach that sanctions companies to fixate on providing a superior customer experience, achieving pertinence, and integrated value at each point of contact. Organizations that are prosperous in achieving this achieve paramount amendments in consumer revenue, gratification, and loyalty.

Each step in the Customer Journey involves making decisions instantly about the concrete message that is most efficacious, the content of the proposal, the most congruous channel, the preferred color, or the ideal price. By solving quandaries regarding product use, dynamically varying costs and discounts, or solving complaints or payments, such decisions become highly valuable and paramount to the customer and the company.

A Customer Intelligence system that seeks to amend the utilizer experience must-have capabilities for coalescing online and offline data, utilizing analytical and machine learning models. The information processing must be carried out prodigiously expeditiously: once the client initiates the interaction, the applications must send pertinent data in authentic time for the formulation of the “Next Best Offer”. The analytics engine will cumulate business rules and personal data to establish the best possible proposal while the consumer is still intrigued and involved.

Real-time solutions are capable of capturing information from different sources: transactional (POS terminals, ATMs, pages and apps, eCommerce platforms), CDR's calls, navigation, available minutes, available data, convivial networks, geolocation, Internet of Things, product inventory, among others, to aliment analytical models that optimize marketing and decision-making processes.

In this way, global companies in the financial sector are already reaping the rewards of their investments in analytics, and it is a matter of time afore it becomes a standard practice for clients to receive offers plenarily habituated to their personal situation and through their preferred channel; The prosperity of these offers will have to do - to an immensely colossal extent - in that they are issued the moment someone shows interest.

Register your interest here for SAS training: https://lnkd.in/gzx3mTHT

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