Market research companies face off various challenges. The most disrupting challenges are juggling with old and new market research methods, clients’ over and different expectation, surpassing deadline, puzzling in IT technologies, maintaining quality, comparison of small companies with bigger and communication problem.
The presentation deals with Reliance JIO Infomm Ltd. In this case dealt with communication strategy of JIO and of its competitors such as Airtel, Vodafone and Idea. We also discussed the distribution strategy of JIO and its competitors Airtel, Vodafone, Idea and Tata Docomo. Next, we anaylsed the survey we undertook with a small sample size of 100 people wherein we prepared a positing map for JIO and for its competitors, we also looked at the factors affecting consumer preferences in this sector. At last we discussed what went wrong for JIO, what went right and what suggestions to give to JIO to improve upon.
The presentation deals with Reliance JIO Infomm Ltd. In this case dealt with communication strategy of JIO and of its competitors such as Airtel, Vodafone and Idea. We also discussed the distribution strategy of JIO and its competitors Airtel, Vodafone, Idea and Tata Docomo. Next, we anaylsed the survey we undertook with a small sample size of 100 people wherein we prepared a positing map for JIO and for its competitors, we also looked at the factors affecting consumer preferences in this sector. At last we discussed what went wrong for JIO, what went right and what suggestions to give to JIO to improve upon.
Service marketing, CLASSIFICATION OF SERVICERATHESH J
Service Marketing, Characteristics of services, Classification of Services, Service Process, Designing the service process, Service Blueprint, Services marketing mix , 7 P’s of Service Marketing
This is a presentation on the scenario of regulations in advertising in India along with some case studies. Hope you find it useful.
This is a presentation done by me for Academic purposes. Lot of content in this presentation has been taken from internet and has been compiled. If you decide to use this ppt for some purpose, I request you to give due credits to me.
Report on Consumer behavior towards dairy milkPrateek Pawar
Consumer behavior research is continuous process. Understanding consumer is never ending, it gives insights to marketer to adapt his marketing strategies. The objective on studying the consumer behavior is to understand the behavior of the consumer in quite deep. This study is to understand CB towards FMCG we have taken product of Dairy milk chocolate. Study involves both primary data and secondary data.
This slideshow explains how Advertisement Business is related to Ethics and what are the government regulations for ethical practices in Advertisement industry in India. Also, it highlights Nestle case to understand the topic better
In between the tough competition and constant pressure to create powerful deliverable, keeping a check on ethics is also a must not just to avoid legal implications but to create and maintain a good Brand Integrity.
Get out from behind the glass and go where your customers are interacting with your brand in context, off the cuff and front the heart with video market research.
Service marketing, CLASSIFICATION OF SERVICERATHESH J
Service Marketing, Characteristics of services, Classification of Services, Service Process, Designing the service process, Service Blueprint, Services marketing mix , 7 P’s of Service Marketing
This is a presentation on the scenario of regulations in advertising in India along with some case studies. Hope you find it useful.
This is a presentation done by me for Academic purposes. Lot of content in this presentation has been taken from internet and has been compiled. If you decide to use this ppt for some purpose, I request you to give due credits to me.
Report on Consumer behavior towards dairy milkPrateek Pawar
Consumer behavior research is continuous process. Understanding consumer is never ending, it gives insights to marketer to adapt his marketing strategies. The objective on studying the consumer behavior is to understand the behavior of the consumer in quite deep. This study is to understand CB towards FMCG we have taken product of Dairy milk chocolate. Study involves both primary data and secondary data.
This slideshow explains how Advertisement Business is related to Ethics and what are the government regulations for ethical practices in Advertisement industry in India. Also, it highlights Nestle case to understand the topic better
In between the tough competition and constant pressure to create powerful deliverable, keeping a check on ethics is also a must not just to avoid legal implications but to create and maintain a good Brand Integrity.
Get out from behind the glass and go where your customers are interacting with your brand in context, off the cuff and front the heart with video market research.
TDWI Solution Summit San Diego 2014 Advanced Analytics at Macys.comDaqing Zhao
Big data analytics and traditional BI
Challenges and solutions of big data predictive modeling
Macy’s Advanced Analytics Team
Our analytics projects
Personalized site recommendations
Response propensity models
Best practices of analysts and modeling
Is Bad Data Killing Your Customer Engagement Strategy? Marketo
In this webinar, hear how Marketo and AmberLeaf are helping other marketing teams improve customer engagement by improving customer data. Listen in to learn
- How your customers view your data challenges
- Who should own the data problem
- Common data pitfalls and quick wins for clean up
- What questions to ask of other internal groups
Digital transformation maturity and riskMark Pedersen
Presentation for Melbourne DevOps meet up on 31/5/2016 looking at some of the broader risk and quality challenges that frequently challenge DevOps adoption - or which DevOps teams might be magically expected to solve.
Content Nirvana for b2b product startupswww.mcoach.in
An introductory guide to strategic content marketing with a focus on audience development through personas and calendar. Highlighting content rules and best practices that will deliver results for b2b startups
Acceptance, accessible, actionable and auditableAlban Gérôme
Many a stakeholder presented with actionable insight have expressed doubts about data quality, its relevance or potential impact. In other cases, the stakeholders will want a data analyst who also commands knowledge of the business or a similar unicorn. The web analytics practitioners would rise to the challenge, and the stakeholders will then want their own Hans Rosling and his dazzling data visualisation and raconteur sills. Your stakeholders are silently experiencing the data transformation like a conservatorship. How can you help them perceive your efforts like a temporary guardianship from which they will emerge as ready to face your data-driven competitors?
This presentation is based on a case study which describes what are the initiative taken by an innovative company like 3m to implement CRM/KM and give the best to customer. what were the implementation techniques and their benefits.
Your AI and ML Projects Are Failing – Key Steps to Get Them Back on TrackPrecisely
With recent studies indicating that 80% of AI and machine learning projects are failing due to data quality related issues, it’s critical to think holistically about this fact. This is not a simple topic – issues in data quality can occur throughout from starting the project through to model implementation and usage.
View this webinar on-demand, where we start with four foundational data steps to get our AI and ML projects grounded and underway, specifically:
• Framing the business problem
• Identifying the “right” data to collect and work with
• Establishing baselines of data quality through data profiling and business rules
• Assessing fitness for purpose for training and evaluating the subsequent models and algorithms
Over the last few years, the ad industry has been decisive and diligent about demanding better media quality. As a result, we've seen dramatic reductions in waste and made huge improvements in the areas of Viewability, Fraud and Brand Safety. Now it's time for the industry to set its sights on the new leading cause of waste. Join Jake Moskowitz, head of the Emodo Institute, for a glimpse into the pervasive problem of data inaccuracy. In this session, Jake will outline the causes, scope and magnitude of today's data quality issues, and discuss tactical ways to ensure advertisers get what they pay for.
Emodo is the data arm of Ericsson, the telecommunications company that powers roughly 80% of US mobile traffic.
"Tech Resources for Business" presented on September 9, 2016, by GadellNet at ComEd's Accelerate Tech event, Olivet Nazarene University, Bourbonnais, IL. Event hosted by the Economic Alliance of Kankakee County, ONU Walker School of Engineering and Kankakee County Chamber of Commerce.
How is IT support needed for business.pdfEminenture
IT support is essential for businesses for many reasons. It helps in maintaining seamless operations, ensuring all technology-related aspects function properly. It plays a key role in troubleshooting hardware and software issues, minimizing downtime, and reducing disruptions in day-to-day activities. IT support specialists also maintain servers, networks, and data storage systems, providing robust infrastructure for smooth operations. In the context of cybersecurity, IT support is indispensable for implementing security protocols, conducting audits, and responding to security breaches. It also helps with compliance to industry standards, preventing legal issues related to data protection and privacy. Furthermore, IT support aids in customizing IT solutions for specific business needs, including software integrations, application upgrades, and data optimization. This customisation improves operational efficiency and scalability. Overall, IT support is a cornerstone for businesses, providing technical expertise, resolving issues, maintaining security, and enabling effective use of technology to support business growth and success.
What is IT Support? Understand its definition, scope, types, tools, and benef...Eminenture
IT Support is crucial for maintaining the health and efficiency of information technology infrastructure. Multiple companies are in the market that ensure end-to-end IT assistance. IT support solutions with Eminenture are its perfect example that encompass inbound and outbound IT assistance regarding the network, hardware, software, installation, and their maintenance, data migration, troubleshooting, and many more like these. Its scope covers hardware, software, networks, and security. there are multiple types of support, which include desktop, network, help desk, and security support. Considering the benefits, they include minimized downtime, increased productivity, proactive maintenance, and customized solutions. Multiple tools like help desk software, remote desktop tools, monitoring software, and security tools empower IT professionals in delivering effective support.
7 tricks to utilize big data for market researchEminenture
Big data hides customers’ tendencies and habits. There are 7 tricks to utilize big data for market research. Browsing rich insight, observing customers keenly, utilizing marketability, inferring social media reviews, capturing emails, ETL and analyzing the ascertained information help in developing business intelligence.
Steps involved in Data Conversion Services - PPTEminenture
Data conversion is the process of converting data from one format to another. For it, encoded data is thoroughly examined. Afterwards, data conversion services accomplish various processes including importing, loading, scrubbing, uploading, validating and exporting data.
SEO Tips to Improve Site’s Google Ranking & Avoid PenaltyEminenture
According to SEO tips, we can improve our website’s ranking without getting penalized by Google. SEO Tips can be helpful in accessing and analyzing current ranking, doing keyword research, using SEO tools, removing unnatural links and using anchor text for your website.
How does Google Adwords Work and its BenefitsEminenture
Google AdWords helps in determining keywords and observing ads bidding. Maximum CPC and quality score fix which ad is to be displayed. CTR, relevancy, landing pages and users experience tell what’s the bidder’s quality score. Optimizing adwords account for drafting ads, A/B testing & other strategies solve the tussle of assigning bids.
Data extraction from other websites is called web scraping. There are many tools available for withdrawing data from websites. Import.io, Yahoo Query Language, HTMLUnit and many other are its popular examples. It helps in making databases, appropriate uses of web content and layout details for business purposes.
SEO and SEM are result oriented and online marketing tools. The former is utilized for pulling organic traffic while the latter is paid advertising tool. Organic traffic via the former adds credibility whereas the latter brings only commercial traffic. On and off page optimizations represent as the SEO components while PPC and CPC are of SEM’s.
8 Benefits of Outsourcing Data Entry ServicesEminenture
Data is the new oil to the modern industry. Its benefits through outsourcing data entry services are leveraging outstandingly. Focus on core verticals, higher productivity, cost-effectiveness, acquisition of best talent, nil flaws and breaching, addition of competitive edge and frequent customer support make it popular offshore.
10 Important Tips For Increasing Traffic On Your WebsiteEminenture
Everyone wants to get more traffic to their website but it is not so easy. It requires good understanding of search engine algorithms. Advertising through social media, socializing your content, visualizing your content for making it more effective, SEO, using long-tailed keywords, guest blogging and interlinking of web pages can drive a huge traffic to your website.
For online promoters, content is an important part of their work. First they need content and then many effective ways to promote their content online. They need to use various strategies like setting objective, understanding audience, putting unique ideas, sharing, sales metrics and lead generation, analyzing their requirements and tracing their locations for their successful content marketing work.
Ecommerce websites act just like a real-time show-stopper among the modern business trends. It introduces advantages to business, productivity, ability, accessibility, reach, online demos, business analysis and branding. It adds more customers to the list of existing ones and scales it to the global level.
Major Google Algorithm Updates From 2010 to 2015Eminenture
Dominant search engine ‘Google’ has been making updates in its services via Google Panda, Penguin, Pigeon, Knowledge Graph and Humming Bird for internet marketing experts. These updates improve processing of Google and prove handy tools for websites to go for easy solutions of web promotions.
Eminenture’s strategy of internet marketingEminenture
Eminenture Technologies has joined the regime of rendering web promotion services. Through initial review and analysis, on-page, off page and search engine optimization, content marketing, social media marketing, search engine marketing, Email marketing and analysis in reports, it contributes its effort in web promotions.
10 tips for website designing and developmentEminenture
Drafting web design roughly, creating unique logos/banners, readable fonts, social media navigators at footer, clutter-free home page, simple design of navigators and intelligent use of white space display creativity for web designing and development.
Show drafts
volume_up
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.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
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).
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.
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.
2. Market research companies tussle with numerous challenges. These can be
related to methods, clients, results, technologies, differentiation, quality,
internal skills, old and newmethods and communication.
Eminenture.com
4. • Messy and clumsy data.
• Low response rate of research resources.
• Juggling with the utility of tools.
• Privacy and security create hurdle.
Eminenture.com
5. • Client’s expectation of quick research.
• Low budget for thorough research.
• Seduction of high-tech solutions.
• Quick changes in their desire.
• Wrong analysis by client himself.
Eminenture.com
6. • Lacking executable insights.
• Missing deadlines of delivering the report.
• Hollow promises and low-quality work frame.
Eminenture.com
7. • Ignorant of IT tricks for data handling.
• Clunky result via mobile technologies.
• No real-time information.
• Puzzling social media.
Eminenture.com
8. • Tougher to demonstrate unique value.
• Tougher to serve lesser known data.
• Tough to meet relevancy.
• Avoiding commoditization.
Eminenture.com
9. • Representation of samples is tough.
• Respondents are incorrect and dubious.
• Quantum of errors is unmentioned.
• Shoddy data gotten at cheaper price.
Eminenture.com
10. • Lacking experience and expertise.
• No critical thinking.
• Emphasizing quantity rather than quality.
• Client devalues market research.
Eminenture.com
11. • Juggling between tradition and innovation.
• Traditional methods fulfill no need.
• Innovative methods are puzzling.
Eminenture.com
12. • Biggies can afford fat funds.
• Quality is beaten when lacking funds.
• Speedy research is what both wants.
• Speedy research can mar quality.
Eminenture.com
13. • How to conclude customers’ behavior.
• How to utilize it.
• How to keep it unbiased and authentic.
• Lacking customers’ engagement.
Eminenture.com