Case study - Transaction pricing in a recessionary economyDeepankar Boro
Our client is an FMCG major that sells its products across many large and small retailers. The client is facing pressure from one such large retailer to cut prices across brands and categories. The client is therefore losing money on several products. Our client would like to use analytics to bring in some science into the pricing decision. Our analysis should help the client decide what pricing strategies should be applied to each product.
How would you approach this analysis?
The data available is weekly price and volume data for all client brands at the retailer for a period of 2 years.
A Case for a new launch?
Your client is one of India's oldest homegrown FMCG companies, TipTop Products. They have been key players in the Personal Care category for several decades, competing successfully with large multinational companies. They are currently present in the categories of soaps, shampoos, moisturizing creams, fairness products and talcum powder. They are focused in the northern and eastern parts of the country, although their products enjoy good distribution across India. Their products are popular both in urban (Tier 2) and rural areas.
For the last 8+ quarters though, their growth has been stagnating. This is partly due to evolution of some of their key categories, as consumers seek other forms of Personal Care. TipTop's head of marketing has been studying this evolution of the market, and the changing consumer, and he feels that TipTop needs to revamp their product portfolio. He strongly feels that deodorants is a Personal Care category that TipTop needs to get into, because of its exploding growth and potential. Some of the other leaders at TipTop however, are not so sure. TipTop has hired you to help. Can you specifically answer these questions for them:
1. Should TipTop enter the Deodorants market? Would you look at a specific market segment or look at the overall market? Please provide your reasons based on the data provided.
2. If they choose to enter, what launch strategy would you recommend in terms of product type, distribution and marketing strategy?
TipTop has provided some data for you to base your conclusions on. Please state what other types of data you might need.
Analyzed Amazon.com Business Structure. EFE Matrix, IFE Matrix, IE Matrix, SWOT Analysis, Quantitative Strategic Planning Matrix, Recommended Strategy, Organizational Structure, Organizational Culture, Product Positioning Map, Target Marget, Strategy Evaluation Report.
I gained knowledge and experience to consult for Strategic Business Management. I am very interested in mergers and acquisitions.
Airline Revenue - Case Study and Industry AnalysisFrank A.
Airlines are facing increased pressure to cut costs and optimize revenue. Technology and other innovative ideas will be presented to harness all the resources necessary to be as efficient and cost effective as possible. The advent of Big Data for the Airline industry is coming at exactly the right time. Just over 100 years in the making, the industry is poised to flourish. New entrants and globalization of the world economy through communication mediums are giving rise to demanding business models that strive to get and keep market share. It will be imperative for all industry players to use data and integrate into all cost saving and profit based business initiatives. This paper illustrates and investigates many spheres of the airline industry including all the facets where airlines may increase revenue, streamline processes, cut costs, and become as cost efficient as possible.
Case study - Transaction pricing in a recessionary economyDeepankar Boro
Our client is an FMCG major that sells its products across many large and small retailers. The client is facing pressure from one such large retailer to cut prices across brands and categories. The client is therefore losing money on several products. Our client would like to use analytics to bring in some science into the pricing decision. Our analysis should help the client decide what pricing strategies should be applied to each product.
How would you approach this analysis?
The data available is weekly price and volume data for all client brands at the retailer for a period of 2 years.
A Case for a new launch?
Your client is one of India's oldest homegrown FMCG companies, TipTop Products. They have been key players in the Personal Care category for several decades, competing successfully with large multinational companies. They are currently present in the categories of soaps, shampoos, moisturizing creams, fairness products and talcum powder. They are focused in the northern and eastern parts of the country, although their products enjoy good distribution across India. Their products are popular both in urban (Tier 2) and rural areas.
For the last 8+ quarters though, their growth has been stagnating. This is partly due to evolution of some of their key categories, as consumers seek other forms of Personal Care. TipTop's head of marketing has been studying this evolution of the market, and the changing consumer, and he feels that TipTop needs to revamp their product portfolio. He strongly feels that deodorants is a Personal Care category that TipTop needs to get into, because of its exploding growth and potential. Some of the other leaders at TipTop however, are not so sure. TipTop has hired you to help. Can you specifically answer these questions for them:
1. Should TipTop enter the Deodorants market? Would you look at a specific market segment or look at the overall market? Please provide your reasons based on the data provided.
2. If they choose to enter, what launch strategy would you recommend in terms of product type, distribution and marketing strategy?
TipTop has provided some data for you to base your conclusions on. Please state what other types of data you might need.
Analyzed Amazon.com Business Structure. EFE Matrix, IFE Matrix, IE Matrix, SWOT Analysis, Quantitative Strategic Planning Matrix, Recommended Strategy, Organizational Structure, Organizational Culture, Product Positioning Map, Target Marget, Strategy Evaluation Report.
I gained knowledge and experience to consult for Strategic Business Management. I am very interested in mergers and acquisitions.
Airline Revenue - Case Study and Industry AnalysisFrank A.
Airlines are facing increased pressure to cut costs and optimize revenue. Technology and other innovative ideas will be presented to harness all the resources necessary to be as efficient and cost effective as possible. The advent of Big Data for the Airline industry is coming at exactly the right time. Just over 100 years in the making, the industry is poised to flourish. New entrants and globalization of the world economy through communication mediums are giving rise to demanding business models that strive to get and keep market share. It will be imperative for all industry players to use data and integrate into all cost saving and profit based business initiatives. This paper illustrates and investigates many spheres of the airline industry including all the facets where airlines may increase revenue, streamline processes, cut costs, and become as cost efficient as possible.
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.
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.
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.