Disney consumer products : Marketing Nutrition to childrenSameer Mathur
In an effort to capture market share in the children's foods category, Disney Consumer Products (DCP) debuted a broad line of "better for you" foods, ranging from fresh fruits and vegetables to frozen meals, through a partnership with Kroger supermarkets. In answer to a global obesity epidemic, DCP reformulated existing products and introduced new ones which met stringent nutritional requirements. Disney--and by extension, DCP--is highly influential with children: can the company use its "magic" to get children to switch from sugary, processed foods and become lifelong converts to a more nutritious diet? What is the food industry's responsibility in this controversial space?
Disney consumer products : Marketing Nutrition to childrenSameer Mathur
In an effort to capture market share in the children's foods category, Disney Consumer Products (DCP) debuted a broad line of "better for you" foods, ranging from fresh fruits and vegetables to frozen meals, through a partnership with Kroger supermarkets. In answer to a global obesity epidemic, DCP reformulated existing products and introduced new ones which met stringent nutritional requirements. Disney--and by extension, DCP--is highly influential with children: can the company use its "magic" to get children to switch from sugary, processed foods and become lifelong converts to a more nutritious diet? What is the food industry's responsibility in this controversial space?
Disney Consumer Products-Marketing Nutrition To ChildrenKrishna Khandelwal
This presentation is on a Harvard Business School case study on how Disney Consumer Products re-positioned its brand image, to focus on nutritious food for children considering the rise in overweights and obese children.
Analysis on the HBR case on Disney Consumer Products. This presentation was created as a part of an internship under Professor Sameer Mathur, IIM Luchnow.
Disney Consumer Products: Marketing Nutrition to ChildrenMrudula Kavuri
Disney Consumer Products faces a big challenge when the obesity epidemic struck in 2005. They were being blamed for the rise in number of overweight and obese children, And so, the had to follow the guidelines set by USDA and improve their food quality. The question is, how did they do it? What are the challenges faced by the company during this transition, how did it overcome them?
Disney consumer products : Marketing Nutrition to ChildrenManal Shah
This Presentation is the Case Analysis of the Harvard Business School Case-"Disney Consumer Products:Marketing Nutrition to Children" which is part of my Internship Under Prof. Sameer Mathur,IIM Lucknow.
HBR CASE STUDY : Disney consumer products ESHITA PORWAL
Few companies have been able to connect with a specific audience like DISNEY has .
Case study of Disney Consumer Products : Marketing Nutrition to Children .
Disney Consumer Products-Marketing Nutrition To ChildrenKrishna Khandelwal
This presentation is on a Harvard Business School case study on how Disney Consumer Products re-positioned its brand image, to focus on nutritious food for children considering the rise in overweights and obese children.
Analysis on the HBR case on Disney Consumer Products. This presentation was created as a part of an internship under Professor Sameer Mathur, IIM Luchnow.
Disney Consumer Products: Marketing Nutrition to ChildrenMrudula Kavuri
Disney Consumer Products faces a big challenge when the obesity epidemic struck in 2005. They were being blamed for the rise in number of overweight and obese children, And so, the had to follow the guidelines set by USDA and improve their food quality. The question is, how did they do it? What are the challenges faced by the company during this transition, how did it overcome them?
Disney consumer products : Marketing Nutrition to ChildrenManal Shah
This Presentation is the Case Analysis of the Harvard Business School Case-"Disney Consumer Products:Marketing Nutrition to Children" which is part of my Internship Under Prof. Sameer Mathur,IIM Lucknow.
HBR CASE STUDY : Disney consumer products ESHITA PORWAL
Few companies have been able to connect with a specific audience like DISNEY has .
Case study of Disney Consumer Products : Marketing Nutrition to Children .
Disney Consumer Products: Marketing Nutrition To ChildrenShivangi Pandey
Walt Disney, Mickey Mouse, Disney consumer products, their contribution to obesity epidemic, DCP's broadening and rationalising of products, introduction of healthier food options, role of advertising and peer pressure among children, FDA compliance, market competition and Disney magic.
Disney Consumer Products:Marketing Nutrition to ChildrenVijay Arora
A Harvard case study analysis
CREATED BY VIJAY ARORA,COLLEGE OF TECHNOLOGY,PANTNAGAR DURING MARKETING INTERNSHIP UNDER PROF. SAMEER MATHUR,IIM LUCKNOW.
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).
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.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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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.
4. • Debut of
Mickey
Mouse
1923
• licensing
became a
business unit
1932 • expand
beyond film
and television
1950
• opened
Disneyland in
California
1955
• the obesity
epidemic
2004 • DCP launches
offering of
fresh fruits
2006
32. RIGHT NOW, KIDS EAT THE WRONG FOODS -
AND TOO MUCH OF THE WRONG FOODS. THE
SOLUTION IS TO PROMOTE HEALTHIER
CATEGORIES
-EMBOLA NDI, VICE PRESIDENT, PRODUCT DEVELOPMENT
“
54. WE EXPECT COMPETITION, BUT WE BELIEVE WE
CAN BEAT THE COMPETITION BECAUSE EVEN IF
THEY DEVELOP AND
MATCH OUR NUTRITIONAL STANDARDS, THEY
CANNOT ACCESS DISNEY MAGIC
-EMBOLA NDI, VICE PRESIDENT, PRODUCT DEVELOPMENT
“
56. 1
Pricing and Value
BUT FOR THESE
PRODUCTS,
AFFORDABLE EQUALS
VALUE, NOT PRICE. WE
HAVE TO DELIVER
QUALITY TO REPRESENT
OUR BRAND WELL
-MOONEY
“
57. 2
Legacy
THOUGH PRODUCTS
WILLL BE HEALTHFUL AND
FUN, BASED ON THE PAST
CRITICISM, THEY
EXPECTED SOME
SKEPTICSM. THIS IS THE
TIME TO LEAVE BACK THE
LEGACY
59. 4
Growth and distribution
DISNEY WANTED TO
LICENSE OR DEVELOP
ADDITIONAL LINES
OTHER THAN KROGER
AND DIFFERENTIATE
ADDITIONAL LINES USING
CHARACTERS, BRAND
AND PRICE
60. WITHIN DCP WE WILL TAKE A SHORT TERM HIT
FINANCIALLY, BUT WE’RE DOING THE RIGHT
THING AND GETTING GOOD BUSINESS RESULTS
-MOONEY AND DOLMON
“