The document discusses Life Insurance Corporation of India (LIC), which is a state-owned insurance company headquartered in Mumbai. It was founded in 1956 when the Indian government nationalized the private insurance industry. Over 245 insurance companies and provident societies were merged to create LIC, which became the sole provider of life insurance in India and contributed significantly to the country's GDP. The document then evaluates LIC's people, processes, physical evidence and identifies gaps in knowledge, service design/standards, performance and communication. It also discusses LIC's market segmentation, targeting, positioning and net promoter score. Areas for improvement identified include infrastructure, uniforms for employees and training.
Future Generali India Insurance Company Limited is a private general insurance company in India. The company is a joint venture between the Future Group and Assicurazioni Generali.
Services Marketing has different service sectors. And Banking is one of them. This is a presentation which includes all the necessary information about a banking service and the extended marketing mix, i.e. 7 P's.
Future Generali India Insurance Company Limited is a private general insurance company in India. The company is a joint venture between the Future Group and Assicurazioni Generali.
Services Marketing has different service sectors. And Banking is one of them. This is a presentation which includes all the necessary information about a banking service and the extended marketing mix, i.e. 7 P's.
briefly decsription on insurance sector and customers perception towards insurance and exide life insurance in odisha...
it will help in marketing as well as finance student those who comes from BBA,MBA, and also management studies...
"Study on factors influencing capability and usability of Consumers Durables-LG Brand shop MOT [Moment Of
Truth] on Consumer Behaviour"says the various Moment of Truth that the Customer encounter when entering into the brand shop .
Various Moment of Truth that the customer encounters are
Visual Merchandising or Point of Display over the products, Employee Behaviour with theCustomers and after that Measuring the Customer Satisfaction that Customer get after interactingwith the Moment of truth they encounter.
The main Objective of the given project was to study the impact of MOT [Moment of Truth] on Customer Buying Behaviour and observing SSE‘s [Shop Sales Executives] Behaviour in dealing with Customers and also analyzing and measuring the Customer Satisfaction and Experience.
This project basically deals with the Evaluation of Individual Brand shop of LG on the basis of MOT [Moment Of Truth] and Shop Sales Executives behavioural aspects.
briefly decsription on insurance sector and customers perception towards insurance and exide life insurance in odisha...
it will help in marketing as well as finance student those who comes from BBA,MBA, and also management studies...
"Study on factors influencing capability and usability of Consumers Durables-LG Brand shop MOT [Moment Of
Truth] on Consumer Behaviour"says the various Moment of Truth that the Customer encounter when entering into the brand shop .
Various Moment of Truth that the customer encounters are
Visual Merchandising or Point of Display over the products, Employee Behaviour with theCustomers and after that Measuring the Customer Satisfaction that Customer get after interactingwith the Moment of truth they encounter.
The main Objective of the given project was to study the impact of MOT [Moment of Truth] on Customer Buying Behaviour and observing SSE‘s [Shop Sales Executives] Behaviour in dealing with Customers and also analyzing and measuring the Customer Satisfaction and Experience.
This project basically deals with the Evaluation of Individual Brand shop of LG on the basis of MOT [Moment Of Truth] and Shop Sales Executives behavioural aspects.
Customer Service Quality at Weill Cornell Medical College IT Call CenterJohn Scrugham
End-of-summer presentation for the Customer Service Quality Project. It's mission was to determine what the Weill Cornell technology users thought of the IT Call Center's service and what areas to improve customer satisfaction
HotelOga & Schubert Hospitality Workshop. How to improve profit, revenue per ...Marek Zmysłowski
Presentation for hotel owners and managers about:
1. Best Practices to Improve Profit
2. Increasing Average Revenue per Customer
3. Employee Customer Care
Presented by HotelOga.com and SchubertHospitality.com
Location - The growing importance for marketers - presented by PosterscopePosterscope
Location, and especially consumer location data, is becoming increasingly important for the marketing industry to connect with audiences and build brand recognition. Location’s role in marketing planning has been augmented by advances in
technology, infrastructure increases and new data sources.
Following qualitative and quantitative research into location’s evolving role, Posterscope published this report to share the audience targeting opportunities behavioural insight creates for business.
Retail Store Locations - Retail Management'Nipun Jain'
About, how-to, processes, decision criteria, etc on picking a Retail Store Location.
Useful for students and professionals, with inclination towards Retail.
Average call duration (ACD) is an easy benchmark to understand and an insightful metric to track. Whether it's tracked for a small group of Level 2 engineers or for a contact center of several hundred agents, this metric can provide insight into the efficiency of a support/service team.
ACD tracks the length of time a customer is on the phone. It's usually measured in minutes and is exclusive of any pre-call preparation or post-call documentation, typically referred to as "wrap." By measuring the duration of the call, organizations hope to find ways in which to improve the efficiency of the service they provide, thereby controlling costs and increasing customer satisfaction.
Leaders in customer service know that every customer contact is a potential sales opportunity, a marketing opportunity, and an opportunity to strengthen a customer’s loyalty to their company. It is for these reasons that call quality is emphasized and monitored at these companies.
Call quality attempts to quantify customer satisfaction with the support received by phone. Unless one listens to both sides of a conversation, however, it’s impossible to know whether customers are receiving the type of quality service that includes accurate information, adherence to professional communication standards, and the feeling of being valued by the company.
Privatisation of life insurance sector in indiaiicecollege
This project is related to life insurance business in India. This study is mainly related to privatization of life insurance sector. LIC was monopoly in insurance sector till 2000.
The decision by IRDA to grant licences to private pledgers in life and non-life sector is expected to increase the insurance business in India. This is bound to board to force existing player to become more competitive thus the buyer can now expect better deals form its insurance agents.
Value chain analysis of HDFC life - By Jimit PatelJimitPatel53
INSTAGRAM @iamjimitpatel
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Value chain analysis of HDFC life - By Jimit Patel
Value chain analysis of HDFC life
analysis of HDFC life
value chain analysis of hdfc life presentation
Hi Friends
This is supa bouy
I am a mentor, Friend for all Management Aspirants, Any query related to anything in Management, Do write me @ supabuoy@gmail.com.
I will try to assist the best way I can.
Cheers to lyf…!!!
Supa Bouy
The role of integrates marketing communications in life insurancetSupa Buoy
Hi Friends
This is supa bouy
I am a mentor, Friend for all Management Aspirants, Any query related to anything in Management, Do write me @ supabuoy@gmail.com.
I will try to assist the best way I can.
Cheers to lyf…!!!
Supa Bouy
A corporate communication campaign about non-existing company ( imaginary company ) with objectives, core messages, audiences and including other things too.
Similar to SERVICE QUALITY AND CUSTOMER SERVICE IN LIC OF INDIA (20)
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
3. Life Insurance Corporation of India (LIC) is an Indian
state-owned insurance group and investment
company headquartered in Mumbai
It is the largest insurance company in India
The company was founded in 1956 when the
Parliament of India passed the Life Insurance of
India Act that nationalised the private insurance
industry in India
Over 245 insurance companies and provident
societies were merged to create the state owned
Life Insurance Corporation
the Life Insurance Corporation of India, which
commanded a monopoly of soliciting and selling
life insurance in India, created huge surpluses, and
by 2006 was contributing around 7% of India's GDP
5. PEOPLE
The employees are confident and clear understanding
about services
Employee-customer relation is almost good.
Employees in the organization are satisfied.
Employees give their personal attention.
Customers having complaints about their service
delaying.
Friendly and prompt service to its customers
PROCESS
Prospective customers have to take token. Based on
each token number complaints will be handled.
Customers data’s are stored in the fully
computerized format.
6. PHYSICAL EVIDENCE
Well dressed employees and agents (no
uniform)
Air conditioned cabins
Fully furnished interiors
Computer system
7. KNOWLEDGE GAP
The employees tries to make a better
relation with customers. They try to
interact more to customer to meet their
expectation and satisfying their needs.
SERVICE DESIGN AND STANDARDS GAP
This gap mainly arise when the service
design does not meet the customer and
employees needs.But in their case they
have better service design.
8. SERVICE PERFORMANCE GAP
This means the firm not delivering to
service standards.
Sometimes service delay happens because
of the crowd (customers).
COMMUNICATION GAP
This means the firms don’t performs their
promises.
Some of the customers are not getting their
promised services from some employees in
their expected time.
9. SEGMENTATION
Mainly they segment the market into 3,
(based on the age of the customers-employed
people)
1. youngster.
2. Middle age.
3.above 50 (old age)
10. TARGETING
Their major group are middle & lower income
peoples.(rural area development)
POSITIONING
“Start Saving Today For Better Tomorrow ”
LIC having a better image in the mind of
peoples.
They works maximum to create a good image
in the mind of their customers and also to the
public.(through satisfying customer needs)
11.
12.
13.
14.
15.
16. NET PROMOTER SCORE(NPS)
No Of Promoters -16
Neutral - 6
No Of Detractors - 3
Total - 25
Promoter-detractor/Total - 0.52
Nps= - 52
17. Need to improve physical infrastructure and
appearance of office
Introduce uniforms for employees
Provide training to the employees and agents
in customer interaction.
Tangibles and empathy has z value < 1.96