An intelligent pricing solution was developed to help pharmaceutical companies optimize drug pricing. The solution analyzes various factors like market trends, costs, sales prices and forecasts to determine the right price. It also simulates different pricing scenarios. This provides insights into pricing strategies and negotiations with distribution channels. For a client, the solution identified opportunities worth $14 million and helped reduce revenue leakage by 1-2% through improved pricing intelligence and negotiations.
Supplier Procurement Analytics powered by PMSquarePM square
Supplier Procurement Analytics solution powered by PMSquare assists procurement and finance departments lower costs. The solution provides detailed analytics to identify enterprise spend, transaction costs and how to better manage your suppliers
Innovative Data Leveraging for Procurement AnalyticsTejari
This webinar will explore the types of problems and questions faced by procurement executives that can benefit most through the application of analytical solutions (e.g. innovation, strategic cost management, risk mitigation, etc.). In addition, we will cover the different forms of cognitive solutions that are emerging to drive real-time decision-making and predictive sourcing capabilities.
The document discusses the use of procurement analytics. It begins by explaining what procurement analytics is and why organizations should use it. Analytics can increase demand forecasting accuracy and contract negotiation power. The document then discusses how analytics can be applied in areas like vendor evaluation, spend analysis, and demand forecasting. It also outlines challenges to implementation and provides recommendations for next steps like gaining leadership support, collaborating cross-functionally, developing skills, and integrating systems.
Defining Target Market for Telemarketing CampaignsMelody Ucros
IE Business School MBD Program
Retail Analytics Project O1 Group C:
Annie Pi – Anchal Jaiswal – Cedric Viret – Melody Ucros – Miguel Martin Romero – Pablo Dosal - Victor Kausch
The document discusses various analytical techniques used to solve business problems in areas like new product launches, marketing, supply chain management, and sales. It provides examples of how techniques like gap analysis, concept testing, SKU rationalization, and inventory management can help companies optimize processes, minimize costs, and maximize profits. Key performance metrics are tracked to evaluate vendors, forecast demand, analyze competitors, and identify optimal pricing strategies.
BRIDGEi2i has frameworks to establish Analytics CoE for Supply Chain functions within organizations. Demand planning solution of BRIDGEi2i aims at using advanced statistical forecasting coupled with real-time decision engines models for demand planning, inventory optimization.
This document discusses using predictive analytics for retail businesses. It outlines using store clustering and RFM (recency, frequency, monetary) analysis to develop predictive models. Store clusters would be used to design customized planograms and segmentation strategies. RFM would analyze active and expired customers to develop targeted strategies like offering discounts or new products to high value customers or win back lower value, expired customers. The overall goal is to use predictive models to improve planogram performance, customer retention and reactivation, and sales.
Supplier Procurement Analytics powered by PMSquarePM square
Supplier Procurement Analytics solution powered by PMSquare assists procurement and finance departments lower costs. The solution provides detailed analytics to identify enterprise spend, transaction costs and how to better manage your suppliers
Innovative Data Leveraging for Procurement AnalyticsTejari
This webinar will explore the types of problems and questions faced by procurement executives that can benefit most through the application of analytical solutions (e.g. innovation, strategic cost management, risk mitigation, etc.). In addition, we will cover the different forms of cognitive solutions that are emerging to drive real-time decision-making and predictive sourcing capabilities.
The document discusses the use of procurement analytics. It begins by explaining what procurement analytics is and why organizations should use it. Analytics can increase demand forecasting accuracy and contract negotiation power. The document then discusses how analytics can be applied in areas like vendor evaluation, spend analysis, and demand forecasting. It also outlines challenges to implementation and provides recommendations for next steps like gaining leadership support, collaborating cross-functionally, developing skills, and integrating systems.
Defining Target Market for Telemarketing CampaignsMelody Ucros
IE Business School MBD Program
Retail Analytics Project O1 Group C:
Annie Pi – Anchal Jaiswal – Cedric Viret – Melody Ucros – Miguel Martin Romero – Pablo Dosal - Victor Kausch
The document discusses various analytical techniques used to solve business problems in areas like new product launches, marketing, supply chain management, and sales. It provides examples of how techniques like gap analysis, concept testing, SKU rationalization, and inventory management can help companies optimize processes, minimize costs, and maximize profits. Key performance metrics are tracked to evaluate vendors, forecast demand, analyze competitors, and identify optimal pricing strategies.
BRIDGEi2i has frameworks to establish Analytics CoE for Supply Chain functions within organizations. Demand planning solution of BRIDGEi2i aims at using advanced statistical forecasting coupled with real-time decision engines models for demand planning, inventory optimization.
This document discusses using predictive analytics for retail businesses. It outlines using store clustering and RFM (recency, frequency, monetary) analysis to develop predictive models. Store clusters would be used to design customized planograms and segmentation strategies. RFM would analyze active and expired customers to develop targeted strategies like offering discounts or new products to high value customers or win back lower value, expired customers. The overall goal is to use predictive models to improve planogram performance, customer retention and reactivation, and sales.
predictive analysis and usage in procurement ppt 2017Prashant Bhatmule
Predictive analytics can help reduce volatility and improve decision making in procurement processes. It allows understanding of future costs, demand, and supply to overcome challenges. Predictive models analyze past data and behaviors to forecast trends and outcomes. As data sources like IoT sensors expand, predictive analytics is increasingly used for applications like manufacturing process improvement, predictive maintenance of equipment, and optimizing building energy usage.
Valio Competitive Intelligence provides economic analysis and development projects for clients. Their economic analyses use Porter's Five Forces model to evaluate competitive rivalry, potential new entrants, supplier and customer power, and threats of substitution. They also monitor key performance indicators, use management information systems to continuously scan the market environment, and help clients redefine strategies when alternatives become more attractive.
The document describes steps in a New IT Innovation Development (N.IT.I.D.) method being applied to a case study of TripAdvisor. It discusses evaluating solutions proposed in earlier steps by linking ideas to key performance indicators in a Quality Function Deployment matrix. The most relevant ideas are engaging customers and facilitating the review process, but further analysis is needed to determine what should be implemented.
This document summarizes the key findings of a 2014 supply chain planning benchmark study that surveyed over 300 supply chain professionals across industries. The study found that few companies have highly integrated planning environments, and many see opportunities to improve areas like forecast accuracy, sales and operations planning processes, and integration of planning and execution. Companies reported using a variety of planning modules and technologies, with demand planning being most common. The study also found that companies have a range of approaches to planning technology from ERP-dominated to best-of-breed solutions. Most see changes coming to accelerate planning cycles and globalize the planning function.
By reducing your net working capital, you release funds for investments and new growth opportunities. Beyond these effects, by reducing net working capital you also improve logistics processes, profitability and increase your stakeholders’ enterprise value.
Warid Telecom Uganda implemented a big data analytics solution to increase revenue and offer new services. The solution involved segmenting customers based on usage patterns and launching targeted campaigns. This led to dramatic results like doubling data revenues, increasing ARPU by 35%, and reducing churn by over 20%. The big data platform provided insights, recommendations, and allowed for closed-loop and real-time marketing.
The document discusses innovation in business and defines it as the implementation of new ideas to create value through problem resolution or opportunity creation. It then outlines several emerging disruptive technologies in supply chain management like IoT, driverless vehicles, drones, 3D printing, and artificial intelligence. Finally, it discusses trends in smart manufacturing and supply chains that are being driven by these new technologies.
This document discusses profitability analysis for distributors. It examines profitability across three key areas: customers, products, and suppliers. For each area, it identifies common sources of waste and inefficiency that reduce profitability, such as unprofitable customers, slow-moving inventory, and suppliers with long lead times or quality issues. The document advocates using tools like activity-based costing to identify specific profitability drivers in order to eliminate waste and foster growth. The overall goal is to align a company's resources more closely with customer and stakeholder needs and expectations.
This paper provides lessons on how leaders can enable procurement change within their organization. It identifies seven key obstacles that tend to arise within the firm, and provides suggestions and examples on how these can be tackled.
Fuel for the cognitive age: What's new in IBM predictive analytics IBM SPSS Software
IBM recently launched an updated version of its predictive analytics platform. Explore the latest features, including R, Python and Spark integration and more powerful decision optimization.
Pega Next-Best-Action Marketing White PaperVivastream
N-B-A (Next-Best-Action) marketing is an approach that uses real-time customer data and analytics to determine the optimal next action or communication for each individual customer across marketing channels. It aims to improve profitability through more customer-centric interactions. When implemented by O2, an early adopter, N-B-A resulted in a 9% increase in bill value, 75% response rate, and reduced customer retention costs in the first month. N-B-A marketing considers each customer's unique profile and preferences to identify the single best offer or message to provide at any given time, avoiding issues like campaign collisions seen in traditional marketing.
Strategic Sourcing - A High level overviewRam Raghuraman
'Strategic Sourcing - An Introduction' delivered by Ram Raghuraman (Founder - BCube Global Solutions, Chennai) as part of ISM India's webinar series on Strategic Sourcing.
Business intelligence (BI) helps businesses in various ways. For fast moving consumer goods companies, BI helps increase customer relationships, respond quickly to market changes, and launch new products faster. For retailers, BI helps align operations around revenue and profitability, identify and analyze trends, and increase cost savings through benchmarking. A US food distribution major uses BI for strategic goals like demand management, sales force effectiveness, trade promotion effectiveness, and supplier performance analysis.
Strategic Vs Tactical Procurement Shifting Focus Towards Value CreationGregStoller
Applying tactical versus strategic sourcing has huge implications on budgets, resources, value delivery and many other factors; the attached offers some insight in deciding which to apply
BigSCM is a proposed product that uses big data from retail supply chains to optimize supply chain management processes. It collects data from RFID, POS, geo-location, social media, call centers, and more to provide recommendations for adaptive inventory management, demand prediction, price optimization, and more. This helps enhance productivity, optimize workflows, reduce costs and improve customer satisfaction. Developing BigSCM would require building out data processing and natural language processing capabilities over 6-8 months. It could help retailers optimize inventory costs, transportation costs, and procurement costs.
This document discusses how companies can optimize their talent supply chain through analytics. It argues that companies should analyze data on external talent suppliers and their performance on key metrics like response rate and hires. This allows companies to identify top performers and areas for improvement. The document outlines KellyOCG's approach to talent supply chain analytics, which uses tools like Pareto analysis and supplier scorecards to benchmark suppliers, understand relationships between metrics, and guide optimization of the supplier base. The goal is to develop actionable insights that reduce costs and improve the quality of external talent.
Supply Chain for Management Consultants & Business AnalystsAsen Gyczew
This presentation will help you drastically improve your knowledge and skills in optimizing supply chain of any company through a series of practical cases. It is designed for people who want to become management consultants, business analysts or have to run and optimize supply chai on daily bases. In the course you will learn 3 things:
1. How to understand supply chain activities
2. How to optimize supply chain in order to get more things done, cheaper at higher quality with less resources
3. Where to look for savings and improvements, how to calculate potential savings in Excel and implement them
The course is based on my 14 years of experience as a consultant in top consulting companies and as a Board Member responsible for strategy, improvement and turn-arounds in biggest companies from Retail, FMCG, SMG, B2B sector that I worked for. On many occasions I had to optimize the whole supply chain side of the businesses I was responsible for. On the basis of what you will find in this course I have trained over 100 consultants, business analysts and managers who now are Supply Chain Directors, Operational Directors, COO, Investment Directors, Directors in Consulting Companies, Board Members etc.
This is part of my online course on Supply Chain for Management Consultants. Check the link to get a discount: http://bit.ly/SCMConsulting
The future of software pricing excellence transaction pricing managementVishal Sharma
The document discusses transaction pricing management in the software industry. It outlines PwC's pricing management framework, which includes pricing strategy, price formulation, transaction management, and performance measurement. The document focuses on transaction management, noting that leaders in this area have integrated, cross-functional processes for capturing pricing data from deals and using it to inform future deals. It also provides guidance on key elements of building a transaction pricing management framework, including designing a price waterfall, defining analytics, and establishing pricing policies and governance.
Dynamic pricing allows companies to maximize profits by continuously adjusting prices in response to changing market conditions. Algorithms analyze internal and external data to predict demand based on price and set prices accordingly. Companies like Amazon use dynamic pricing to change prices up to 3 million times per day. When implemented effectively through data analysis, change management, and ongoing optimization, dynamic pricing can increase company revenues by over 15% and units sold by double digits.
predictive analysis and usage in procurement ppt 2017Prashant Bhatmule
Predictive analytics can help reduce volatility and improve decision making in procurement processes. It allows understanding of future costs, demand, and supply to overcome challenges. Predictive models analyze past data and behaviors to forecast trends and outcomes. As data sources like IoT sensors expand, predictive analytics is increasingly used for applications like manufacturing process improvement, predictive maintenance of equipment, and optimizing building energy usage.
Valio Competitive Intelligence provides economic analysis and development projects for clients. Their economic analyses use Porter's Five Forces model to evaluate competitive rivalry, potential new entrants, supplier and customer power, and threats of substitution. They also monitor key performance indicators, use management information systems to continuously scan the market environment, and help clients redefine strategies when alternatives become more attractive.
The document describes steps in a New IT Innovation Development (N.IT.I.D.) method being applied to a case study of TripAdvisor. It discusses evaluating solutions proposed in earlier steps by linking ideas to key performance indicators in a Quality Function Deployment matrix. The most relevant ideas are engaging customers and facilitating the review process, but further analysis is needed to determine what should be implemented.
This document summarizes the key findings of a 2014 supply chain planning benchmark study that surveyed over 300 supply chain professionals across industries. The study found that few companies have highly integrated planning environments, and many see opportunities to improve areas like forecast accuracy, sales and operations planning processes, and integration of planning and execution. Companies reported using a variety of planning modules and technologies, with demand planning being most common. The study also found that companies have a range of approaches to planning technology from ERP-dominated to best-of-breed solutions. Most see changes coming to accelerate planning cycles and globalize the planning function.
By reducing your net working capital, you release funds for investments and new growth opportunities. Beyond these effects, by reducing net working capital you also improve logistics processes, profitability and increase your stakeholders’ enterprise value.
Warid Telecom Uganda implemented a big data analytics solution to increase revenue and offer new services. The solution involved segmenting customers based on usage patterns and launching targeted campaigns. This led to dramatic results like doubling data revenues, increasing ARPU by 35%, and reducing churn by over 20%. The big data platform provided insights, recommendations, and allowed for closed-loop and real-time marketing.
The document discusses innovation in business and defines it as the implementation of new ideas to create value through problem resolution or opportunity creation. It then outlines several emerging disruptive technologies in supply chain management like IoT, driverless vehicles, drones, 3D printing, and artificial intelligence. Finally, it discusses trends in smart manufacturing and supply chains that are being driven by these new technologies.
This document discusses profitability analysis for distributors. It examines profitability across three key areas: customers, products, and suppliers. For each area, it identifies common sources of waste and inefficiency that reduce profitability, such as unprofitable customers, slow-moving inventory, and suppliers with long lead times or quality issues. The document advocates using tools like activity-based costing to identify specific profitability drivers in order to eliminate waste and foster growth. The overall goal is to align a company's resources more closely with customer and stakeholder needs and expectations.
This paper provides lessons on how leaders can enable procurement change within their organization. It identifies seven key obstacles that tend to arise within the firm, and provides suggestions and examples on how these can be tackled.
Fuel for the cognitive age: What's new in IBM predictive analytics IBM SPSS Software
IBM recently launched an updated version of its predictive analytics platform. Explore the latest features, including R, Python and Spark integration and more powerful decision optimization.
Pega Next-Best-Action Marketing White PaperVivastream
N-B-A (Next-Best-Action) marketing is an approach that uses real-time customer data and analytics to determine the optimal next action or communication for each individual customer across marketing channels. It aims to improve profitability through more customer-centric interactions. When implemented by O2, an early adopter, N-B-A resulted in a 9% increase in bill value, 75% response rate, and reduced customer retention costs in the first month. N-B-A marketing considers each customer's unique profile and preferences to identify the single best offer or message to provide at any given time, avoiding issues like campaign collisions seen in traditional marketing.
Strategic Sourcing - A High level overviewRam Raghuraman
'Strategic Sourcing - An Introduction' delivered by Ram Raghuraman (Founder - BCube Global Solutions, Chennai) as part of ISM India's webinar series on Strategic Sourcing.
Business intelligence (BI) helps businesses in various ways. For fast moving consumer goods companies, BI helps increase customer relationships, respond quickly to market changes, and launch new products faster. For retailers, BI helps align operations around revenue and profitability, identify and analyze trends, and increase cost savings through benchmarking. A US food distribution major uses BI for strategic goals like demand management, sales force effectiveness, trade promotion effectiveness, and supplier performance analysis.
Strategic Vs Tactical Procurement Shifting Focus Towards Value CreationGregStoller
Applying tactical versus strategic sourcing has huge implications on budgets, resources, value delivery and many other factors; the attached offers some insight in deciding which to apply
BigSCM is a proposed product that uses big data from retail supply chains to optimize supply chain management processes. It collects data from RFID, POS, geo-location, social media, call centers, and more to provide recommendations for adaptive inventory management, demand prediction, price optimization, and more. This helps enhance productivity, optimize workflows, reduce costs and improve customer satisfaction. Developing BigSCM would require building out data processing and natural language processing capabilities over 6-8 months. It could help retailers optimize inventory costs, transportation costs, and procurement costs.
This document discusses how companies can optimize their talent supply chain through analytics. It argues that companies should analyze data on external talent suppliers and their performance on key metrics like response rate and hires. This allows companies to identify top performers and areas for improvement. The document outlines KellyOCG's approach to talent supply chain analytics, which uses tools like Pareto analysis and supplier scorecards to benchmark suppliers, understand relationships between metrics, and guide optimization of the supplier base. The goal is to develop actionable insights that reduce costs and improve the quality of external talent.
Supply Chain for Management Consultants & Business AnalystsAsen Gyczew
This presentation will help you drastically improve your knowledge and skills in optimizing supply chain of any company through a series of practical cases. It is designed for people who want to become management consultants, business analysts or have to run and optimize supply chai on daily bases. In the course you will learn 3 things:
1. How to understand supply chain activities
2. How to optimize supply chain in order to get more things done, cheaper at higher quality with less resources
3. Where to look for savings and improvements, how to calculate potential savings in Excel and implement them
The course is based on my 14 years of experience as a consultant in top consulting companies and as a Board Member responsible for strategy, improvement and turn-arounds in biggest companies from Retail, FMCG, SMG, B2B sector that I worked for. On many occasions I had to optimize the whole supply chain side of the businesses I was responsible for. On the basis of what you will find in this course I have trained over 100 consultants, business analysts and managers who now are Supply Chain Directors, Operational Directors, COO, Investment Directors, Directors in Consulting Companies, Board Members etc.
This is part of my online course on Supply Chain for Management Consultants. Check the link to get a discount: http://bit.ly/SCMConsulting
The future of software pricing excellence transaction pricing managementVishal Sharma
The document discusses transaction pricing management in the software industry. It outlines PwC's pricing management framework, which includes pricing strategy, price formulation, transaction management, and performance measurement. The document focuses on transaction management, noting that leaders in this area have integrated, cross-functional processes for capturing pricing data from deals and using it to inform future deals. It also provides guidance on key elements of building a transaction pricing management framework, including designing a price waterfall, defining analytics, and establishing pricing policies and governance.
Dynamic pricing allows companies to maximize profits by continuously adjusting prices in response to changing market conditions. Algorithms analyze internal and external data to predict demand based on price and set prices accordingly. Companies like Amazon use dynamic pricing to change prices up to 3 million times per day. When implemented effectively through data analysis, change management, and ongoing optimization, dynamic pricing can increase company revenues by over 15% and units sold by double digits.
The company provides advanced analytics and data-driven decision making services. It has deep analytical capabilities across various industries, developed custom products, and has an expert team of data scientists, analysts, architects and programmers. The vision is to be a world leader in advanced analytics and enabling technology. Services include marketing, operations, supply chain and risk analytics. The company uses big data technologies like Hadoop and advanced tools to deliver solutions focused on customers across industries.
The document discusses how Accent Serv International can help businesses maximize their profits through revenue management, cost optimization, risk evaluation, and price strategies. They analyze customer data and market conditions to forecast demand, segment customers, optimize prices and inventory, and continuously reevaluate strategies. Their goal is to help businesses understand their production costs and functions, set optimal input levels and prices, and achieve the maximum profit possible given their market conditions and resources.
The document discusses how supply chain analytics can help organizations optimize their supply chain operations. It describes how the changing role of consumers has impacted supply chains and the need for collaboration, visibility, and efficiency across the supply chain. It then provides examples of different types of supply chain analytics and insights organizations can gain in areas like executive dashboards, supply chain design, demand forecasting, pricing, inventory management, and more. It also provides a brief case study of how Team Computers implemented an analytics solution for Parle Products to track stock levels, sales, and shortfalls.
1. Incedo provides forecasting, valuation, deal term development, and consulting services to help clients develop appropriate forecasting scenarios and find partners through the in- and out-licensing process.
2. Valuation and forecasting use commercial, financial, and market data to develop realistic estimates for negotiations. An asset's potential varies with different partners, so deal terms depend on each partnership's needs and industry dynamics.
3. Incedo's proprietary online platform RnDpipeline.com allows users to post opportunities, search matches, and model revenues, costs, valuations, and deal structures to facilitate business development and licensing activities across the life sciences industry.
The document discusses go-to-market strategies for startups. It covers designing sales strategies, identifying target customer segments and ideal sales channels. It also discusses various go-to-market methods like direct sales, resellers and systems integrators. A 9-point go-to-market plan framework is provided focusing on target customers, value propositions, partnerships and pricing. Marketing is defined as telling a company's story to attract different stakeholders. Key marketing elements like messaging, branding and demand generation are examined.
The document discusses key questions to consider when evaluating a marketing intelligence platform. It begins by explaining that most marketers still rely on multiple disconnected data sets and analytics tools that are difficult to use. The top questions to ask are: 1) Can the platform consolidate all marketing data? 2) Can it clean and standardize the data? 3) Can it deliver accurate customer segmentation based on long-term customer behavior? For most companies, a third-party cloud-based marketing intelligence platform is the best option to gain valuable customer insights.
An AI-based price engine is a pricing tool or system that leverages artificial intelligence and machine learning techniques to make pricing decisions and recommendations based on various factors and variables. The pricing engine goes beyond traditional rule-based approaches and incorporates advanced algorithms to analyze complex data patterns, customer behavior, market trends, and other relevant factors in real-time.
This document discusses how predictive analytics and content targeting can improve the user experience. It defines predictive analytics as examining patterns in data to identify future risks and opportunities. Content targeting provides customized content for users based on their behaviors and attributes. This enhances the customer experience by delivering relevant information. Predictive analytics has various uses, such as reducing churn, increasing sales, and optimizing operations. Case studies show how predictive analytics helped a truck manufacturer anticipate breakdowns and a retailer increase revenues through audience segmentation and recommendations. The document advocates for strategic content targeting over generic content to create a better customer experience.
Execute a Winning Pricing Strategy with Artificial Intelligence (AI)Apttus
With effective pricing, enterprises can secure their market positions and increase profitable growth. Innovations in Quote-to-Cash technology powered by AI have made it possible for enterprises to consistently set prices that drive optimal business outcomes. Learn how your enterprise can make pricing excellence a reality with AI.
Optimize Your Launch Sequence Strategies - White PaperPatrick Homer
Pharmaceutical companies face complex challenges in optimizing global pricing and launch sequencing strategies to maximize revenue from new product launches. The reference pricing matrix across countries is daunting and ever-changing, making it difficult to track pricing impacts and make meaningful decisions using basic tools. Advanced analytics are needed to quickly simulate launch scenarios, optimize pricing and sequencing, and monitor prices considering external impacts. This can help companies centralize strategies, accelerate decision-making, and reduce the risk of irreversible global price erosion that leads to lost revenues of tens to hundreds of millions of dollars.
Price Advantage has written by Baker, Marn, Zawada. This is a book summary presentation which focused on basic concepts and new product pricing methods.
Price & Revenue Management at L&T Infotechutsavbhatt
The document discusses price optimization and management software that helps businesses boost margins in a down economy. Key points:
1) This type of software helps companies identify issues with their pricing policies and practices that reduce revenue and margins. It also helps companies determine prices that target markets will accept.
2) Adoption of these solutions is growing for companies over $500 million in revenue, especially in industries with complex pricing.
3) The greatest interest comes from manufacturing, distribution, and logistics companies, but awareness is spreading to other industries like medical devices and business services.
AlgoAnalytics is the “one stop AI shop”. We are the best organization in India as far as applied machine learning expertise is considered. We aim to be the one of the best in the world.
We work at the intersection of mathematics, computer science and specific domain knowledge like finance, retail, healthcare, manufacturing and others. We have developed expertise in handling structured/numerical, image and text data and integrating the intelligence gathered from heterogeneous data which is combination of structured and un-structured.
We integrate the cutting edge tools and technologies with our strong domain expertise to design predictive analytics solutions for businesses.We are proficient in classical as well as deep learning methodologies. In AlgoAnalytics we extensively use tools like R-Caret, Scikit-learn, Tensorflow, Theano and Microsoft Cognitive toolkit (CNTK).
Synthium Health provides a cloud-based digital commerce platform and supply chain management solutions for the healthcare industry. The platform automates procurement processes from sourcing to accounts payable. It connects buyers and suppliers to streamline purchasing, reduce costs, and gain spend visibility through analytics. Synthium Health helps optimize the healthcare supply chain with digital tools that simplify workflows and drive efficiencies.
This document provides strategies for pricing new products and services. It discusses 6 factors to consider when determining price: 1) Pricing approach and strategies, 2) Costing, 3) Competition and competitors' prices, 4) Market share and dominance, 5) Customer behavior and price sensitivity, and 6) Regulatory framework. The document uses these factors to analyze pricing approaches like premium pricing, penetration pricing, and price skimming. It emphasizes the importance of considering multiple internal and external factors when setting prices.
Daiichi Sankyo acquired Ranbaxy in an all-cash deal valued at $4.9 billion. Daiichi aimed to expand into generics and emerging markets through the acquisition, while Ranbaxy benefited from access to Daiichi's R&D capabilities and the Japanese market. However, Daiichi failed to adequately address regulatory issues at Ranbaxy facilities that were uncovered after the deal, resulting in billions in write-downs and financial losses for Daiichi.
This document discusses the themes of living on the edge, seeing the world differently, and being bold, unconventional rebels as represented in the Aerosmith song "Living on the Edge". It relates to their attitude of living life without fear and pushing boundaries, as Aerosmith has done with their unconventional music over their career, making them the best-selling American rock band. Their ability to innovate and adapt after internal conflicts in the 1980s is also highlighted.
The document discusses the factors contributing to the depreciation of the Indian rupee against the US dollar. It notes that recession in developed economies like the US has led to outflows of money from India. Additionally, concerns over defaults by European nations have resulted in loss of confidence in the euro and appreciation of the dollar. Investors also view the dollar as a safe currency due to fears of a bubble bursting in gold. This has led to a widening trade deficit and spike in dollar demand, putting pressure on the rupee. The current account deficit is expected to be between 3.0-3.1% of GDP by March 2012.
The document outlines the setup of a cement plant for Buniyad Cement Limited in Surat, Gujarat. A team will install a clinkerization plant using a dry process and vertical roller mill technology with a production capacity of 270/303 tons per hour. The annual output will be 3.3 million tons. The project goals are to install and commission the vertical roller mill and ensure employee and client satisfaction by following best practices. The scope of work includes engineering, procurement, installation, commissioning, and obtaining necessary approvals. A project plan is provided which includes the statement of work, roles, schedule from February to October 2011, and a communication plan.
Anil Kumble was a great leader for the Indian cricket team despite being asked to lead quite late in his career. He was already a leader without the official title, as captains like Azharuddin, Tendulkar, and Ganguly regularly relied on his advice and bowling skills. Kumble was intensely competitive and a master strategist who never lost his cool or discredited his teammates. He had high standards and was a powerful role model, once continuing to play with a fractured jaw. Kumble claimed many Indian records through his brilliant career and was a gifted spinner, stoic warrior, and committed teammate.
The document provides an overview of Bajaj Auto, an Indian vehicle manufacturer. It discusses the company's history and product portfolio, which includes scooters, motorcycles, and auto rickshaws. The document analyzes Bajaj's products in the 150cc category, including the Pulsar 150 and Discover 150. It also includes a SWOT analysis, BCG matrix analysis, Porter's five forces analysis, and discussion of Bajaj's market segmentation, targeting, positioning, and branding strategies.
Inflation and its trends in indian economyNihar Routray
This document discusses inflation in the Indian economy. It lists the team members and objective to study causes and effects of inflation trends in India. It defines inflation as a rise in general prices and fall in money value. The types of inflation include creeping, trotting, galloping, and hyper. Causes include rises in crude oil and food prices, GDP, and wages. Measuring inflation includes wholesale price indices. Effects are hoarding, risks, consumption impacts. Curbing inflation involves strengthening currency, interest rate hikes, and fiscal policies. Recent inflation is attributed to food and commodity prices. References are also provided.
This document contains a financial analysis report for MRF Ltd from 2009-2010. It discusses MRF's history and growth as India's leading tire maker. It provides details on the structure and trends of the Indian tire industry. It also includes a SWOT analysis and discusses MRF's strong sales growth and dividend payments. Comparative financial ratios are presented and the report recommends a stock split due to MRF's high share price.
1) The document outlines AMD's strategy to grow its market share in India from 12.75% to 20% by 2012 through an alliance with Zenith Computers India.
2) The key aspects of the strategy include focusing AMD processors on the server market, simplifying distribution by only dealing with Zenith, and promoting a customer-centric approach to demonstrate AMD's superior value and build its brand in India.
3) Implementation plans to achieve the objectives include narrowing AMD's product focus, simplifying distribution through Zenith, enhancing the customer experience, and establishing AMD as a leader in performance-per-watt at a lower price point.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Natural Language Processing (NLP), RAG and its applications .pptxfkyes25
1. In the realm of Natural Language Processing (NLP), knowledge-intensive tasks such as question answering, fact verification, and open-domain dialogue generation require the integration of vast and up-to-date information. Traditional neural models, though powerful, struggle with encoding all necessary knowledge within their parameters, leading to limitations in generalization and scalability. The paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" introduces RAG (Retrieval-Augmented Generation), a novel framework that synergizes retrieval mechanisms with generative models, enhancing performance by dynamically incorporating external knowledge during inference.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.