"Price optimization avoids loss; loss of a customer because you priced too high, or loss of margin because you priced too low. You are likely losing customers and margin every day without price optimization" -Gary Quirke, CEO
This document summarizes a cloud-based margin analytics tool that analyzes transactional data to identify opportunities for margin improvement. It visualizes key profit drivers and their impact on margins. It also measures underlying profit drivers like price, cost, volume and product mix to see their positive or negative contribution. The tool provides insights into sales performance and causes of margin variance to reveal low-risk price improvement opportunities and targets.
ORION Predictive Assortment Planning by QueBIT incorporates a use friendly planning interface and sophisticated predictive modeling and optimization engine to deliver highly accurate location specific (or clustered) assortments. QueBIT’s unequivocal experience implementing assortment planning solutions results in significantly improved assortment accuracy that can results in millions of dollars in incremental revenue. For more information and to schedule a demo please visit http://quebit.com/ .
Role of business intelligence in retail industryRishabh Software
Business intelligence software provides key benefits for retailers by helping optimize operations and increase sales and customer loyalty. It allows retailers to track important key performance indicators, identify top marketing strategies and customer trends, and better plan merchandise based on user data to ensure the right product quantities in the right locations. Retailers can also use BI to personalize customer engagement, enhance the customer experience, reduce costs, and optimize floor plans and product placement. Global spending on BI and analytics software is growing significantly and is expected to reach $55 billion by 2026.
Customer Relationship Management (CRM) aims to maximize customer intelligence to drive profitable growth through acquisition, penetration and retention. Effective CRM requires customer analytics to understand customers and improve returns. CGE&Y's Intelligent Customer Growth approach provides a single view of customers, robust analytics and closed-loop performance management to help companies better understand customers and make data-driven decisions.
This presentation discusses how rather than loyalty, retailers should be looking for ‘relevance’ – context-specific, personalised customer engagement matched to the customer’s individual needs.
This document outlines the key perspectives - customer, operational, financial, and strategic - that are important to consider for a new retail approach. The customer perspective focuses on acquisition, relationships, and personalized experiences. Operationally, opportunities exist in location optimization, omnichannel, and data-driven decision making. New metrics, revenue streams from services, and financial models are important from a financial perspective. The strategic perspective ties these perspectives together with a frictionless, convenient experience.
The Magic That Happens When Manufacturers Digitally Attach Themselves to Thei...Tata Consultancy Services
With IoT manufacturers can monitor the performance of their products after they leave the shop floor. As a result, they can gain deep insights into how customers are using their products. This knowledge can transform how they add value to customers and identify new revenue opportunities.
This document summarizes a cloud-based margin analytics tool that analyzes transactional data to identify opportunities for margin improvement. It visualizes key profit drivers and their impact on margins. It also measures underlying profit drivers like price, cost, volume and product mix to see their positive or negative contribution. The tool provides insights into sales performance and causes of margin variance to reveal low-risk price improvement opportunities and targets.
ORION Predictive Assortment Planning by QueBIT incorporates a use friendly planning interface and sophisticated predictive modeling and optimization engine to deliver highly accurate location specific (or clustered) assortments. QueBIT’s unequivocal experience implementing assortment planning solutions results in significantly improved assortment accuracy that can results in millions of dollars in incremental revenue. For more information and to schedule a demo please visit http://quebit.com/ .
Role of business intelligence in retail industryRishabh Software
Business intelligence software provides key benefits for retailers by helping optimize operations and increase sales and customer loyalty. It allows retailers to track important key performance indicators, identify top marketing strategies and customer trends, and better plan merchandise based on user data to ensure the right product quantities in the right locations. Retailers can also use BI to personalize customer engagement, enhance the customer experience, reduce costs, and optimize floor plans and product placement. Global spending on BI and analytics software is growing significantly and is expected to reach $55 billion by 2026.
Customer Relationship Management (CRM) aims to maximize customer intelligence to drive profitable growth through acquisition, penetration and retention. Effective CRM requires customer analytics to understand customers and improve returns. CGE&Y's Intelligent Customer Growth approach provides a single view of customers, robust analytics and closed-loop performance management to help companies better understand customers and make data-driven decisions.
This presentation discusses how rather than loyalty, retailers should be looking for ‘relevance’ – context-specific, personalised customer engagement matched to the customer’s individual needs.
This document outlines the key perspectives - customer, operational, financial, and strategic - that are important to consider for a new retail approach. The customer perspective focuses on acquisition, relationships, and personalized experiences. Operationally, opportunities exist in location optimization, omnichannel, and data-driven decision making. New metrics, revenue streams from services, and financial models are important from a financial perspective. The strategic perspective ties these perspectives together with a frictionless, convenient experience.
The Magic That Happens When Manufacturers Digitally Attach Themselves to Thei...Tata Consultancy Services
With IoT manufacturers can monitor the performance of their products after they leave the shop floor. As a result, they can gain deep insights into how customers are using their products. This knowledge can transform how they add value to customers and identify new revenue opportunities.
Retail AI at work: How leading retailers are using AI to optimize pricing and...National Retail Federation
NRF 2019: Retail's Big Show
Michael Feindt, Founder and Chief Scientific Officer, Blue Yonder
Desikan Madhavanur, EVP and Chief Product Development Officer, JDA Software
This document discusses analytics and its benefits for business. Analytics is the analysis of data to find meaningful patterns and insights to help with decision making. It can help businesses personalize customer experiences, improve operations and decision making, mitigate risks, and enhance security. There are different types of analytics like marketing, web, people, and portfolio analytics. Portfolio analysis involves regularly reviewing a business's portfolio of securities or products to analyze risk and returns and make changes to improve performance.
business analytics and its importance, marketing analytics definition and its importance, how marketing analytics helps to run the organization in effective and efficient manner.
Intelibiz is a highly scalable cloud based BI platform that provides real time time actionable insights to business across all important functions like Merchandising, Finance, Operations, Supply chain etc. Unlike traditional ERP reporting solutions that are siloed in their architecture, Intelibiz provides businesses with the ability to generate cross functional insights in a matter of seconds. The platform is powered by Industry renowned tableau software leading to highly efficient data architecture and world class security standards. Its cloud based architecture removes the need of having extensive IT hardware on premise leading to better ROI for the business. All the reports and dashboards can be accessed from anywhere in the world across multiple devices enabling faster insights. The entire platform is highly configurable and can be customized as per the specific needs of the business. Deployment takes anywhere between 2 weeks to 6 depending upon the specific need and existing data architecture at the business.
This document discusses analytics and retail analytics. It defines analytics as discovering patterns in data through statistics, programming, and research. Retail analytics specifically aims to improve customer loyalty and sales. It does this by identifying valuable customers, understanding their preferences, and creating personalized shopping experiences through offers targeted to individual needs. Retailers can gather customer data through in-store and online analytics to gain insights that optimize performance.
Loyalytics is a boutique analytics consulting company helping businesses improve their customer loyalty across industries through the use of data and analytics. We help businesses convert data into an enterprise asset and leverage it to shape their customer strategy. Our mission is to be the “Voice of customers” for all our business partners.
Our capabilities span across the entire gamut of Analytics service offerings from Enterprise BI solutions for tracking and monitoring KPI’s to advanced data science solutions like Price optimization, Customer segmentations etc. Our Solutions can be clubbed into the following 5 verticals:
• Business Dashboards
• Customer Analytics
• Digital Analytics
• Merchandising Analytics
• Market Research
Our engagement model is very flexible and can be customized to the specific needs of the organization. From pure consulting assignment (Analytics Maturity assessment for business) to E2E deployment of specific analytics solutions, we do it all. For more information regarding our solutions/offerings please visit our website at www.loyalytics.in
The document discusses the role of analytics in e-commerce. It explains that analytics teams track user behavior using cookies to make recommendations of interest. Analytics helps improve the user experience on e-commerce sites and acts as a product itself through recommender engines. Some key functions of analytics include supply chain management, merchant analytics to redirect users, recommender systems, product analytics on satisfaction and sales, online marketing analytics, and user experience analytics to improve customer retention.
This document discusses the need to rethink traditional marketing analytics approaches and leverage big data solutions. It notes that while many firms want to be data-driven, few are good at taking action on data. Traditional approaches have limitations in scaling and real-time processing across new data sources like mobile and apps. A big data approach allows for a 360-degree customer view, real-time campaign adjustments, accurate customer value scoring, and understanding customer behavior patterns. It presents architectures for ingesting diverse customer data, building customer profiles, modeling to gain insights, and optimizing marketing based on those insights.
Business intelligence (BI) is a tool that analyzes raw business data from various sources like social media and online stores to provide insights. BI helps eCommerce businesses bridge gaps with customers, strengthen relationships with data, transform unstructured into structured data, discover opportunities, and guide future strategies. BI solutions allow businesses to perform customer, sales, inventory, and marketing analysis with just a few clicks.
The document discusses Axtria's services for motivating high performance sales teams through incentive compensation and rewards programs. Axtria provides advisory, implementation, and outsourcing services to help clients design compensation plans, set goals, track sales credits and payments, and report on plan effectiveness. Their cloud-based SalesIQ platform integrates these incentive compensation capabilities with sales planning, operations, and reporting tools.
This document provides an overview of how to use Salesforce Analytics to gain insights from marketing data. It introduces a framework for understanding marketer needs with strategic and tactical levels. The framework is based on a "closed-loop reporting" model tracking prospects through marketing qualified leads, opportunities, and closed won deals. Metrics at the strategic level benchmark key performance indicators across the funnel. Tactical metrics allow deep-dive optimization of channels, forms, pages and programs. An example applies the framework to a revenue goal scenario and discusses leveraging metrics to optimize conversions when goals are at risk. Advanced tips cover customization, senior sales roles, and issues with averages.
Designed to make the shopping experience simpler, faster and more convenient for consumers
Helping retailers to overhaul the buying experience that they offer their customers
The document discusses Magento Business Intelligence and how it helps merchants overcome common data and analytics challenges. It provides an overview of MBI's platform capabilities like data connection, consolidation, transformation, warehousing, analysis and visualization. It also outlines the Essentials and Pro tiers, included features, pricing and examples of how MBI has helped companies like Truly Experiences and Guideboat improve marketing ROI and identify qualified leads through data-driven insights.
Business Intelligence tool recommendation for ecommerceRud Boruah
This document analyzes and compares several business intelligence tools for ecommerce retailers: QlikView, Tableau/BIME, Splunk, and e-Commera. It finds that e-Commera is the best choice due to its retail focus, action-based recommendations, and low learning curve. BIME is recommended if cost is the primary factor. The analysis was conducted by Dhruv Boruah for a client using Magento and considers implementation time, costs over 1 and 3 years, features, and benefits of each tool.
Why You Should Run Your Procurement Organization Like a Consulting FirmJosh Stancil
We believe that by running procurement as if it were a for-profit business can lead to exceptional results. This presentation covers how to change your mindset and model your approach after high-performing consulting firms.
1) The document proposes using advanced data analytics to build knowledge of customer behavior, preferences, and aspirations in order to maximize revenue.
2) A case study uses data from an online beauty/personal care subsidiary to demonstrate how clustering, classification, and regression analyses can provide insights.
3) The analyses identify customer subgroups, predict which customers will churn, and forecast spending amounts. This knowledge can then be used to target marketing and improve customer retention and spending.
The document provides an overview of marketing analytics, including defining marketing analytics, key elements and capabilities, impact, and getting started with analytics. Some key points:
- Marketing analytics is the process of identifying valid performance metrics, tracking them over time, and using the results to improve marketing. The goal is to measure progress toward objectives.
- Key elements include people, steps, tools/technology, inputs and outputs. Capabilities include understanding performance and reporting it externally.
- Impacts can include optimizing brand recognition, content, channels, customer understanding, and predictive intelligence.
- Getting started involves assessing readiness, reviewing objectives, and establishing metrics like website, social media, email, and digital advertising metrics.
This document outlines reasons why merchants may or may not need a payment gateway. It defines processors, gateways, and alternatives like switches and middleware. Five reasons a gateway is needed are: for best-of-breed solutions, simplified architecture, security/tokenization, business flexibility, and favorable economics for mid-market merchants. Five reasons a gateway is not needed include economics favoring large merchants, flexibility to build components in-house, wanting end-to-end encryption, reducing transaction "hops", and estate management solutions. The document provides recommendations on gateway vs. non-gateway options based on merchant size and processing needs.
steps included in the analytics process
why marketing analysis.
advantages of marketing analytics
the framework of marketing analytics
future of marketing analytics,
how analytics helped amazon small case study.
1. Sales and marketing analytics uses descriptive, diagnostic, predictive, and mechanistic analytics types to generate insights from business data in areas like consumer behavior, customer segmentation, pricing, recommendations, and sales force performance.
2. Common applications of analytics include understanding consumer behavior, customer segmentation, marketing mix optimization, and sales force efficiency.
3. Popular tools for sales and marketing analytics include Zoho Analytics, Yellowfin, Looker, Microsoft Excel, and various report generation and data visualization software.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
Retail AI at work: How leading retailers are using AI to optimize pricing and...National Retail Federation
NRF 2019: Retail's Big Show
Michael Feindt, Founder and Chief Scientific Officer, Blue Yonder
Desikan Madhavanur, EVP and Chief Product Development Officer, JDA Software
This document discusses analytics and its benefits for business. Analytics is the analysis of data to find meaningful patterns and insights to help with decision making. It can help businesses personalize customer experiences, improve operations and decision making, mitigate risks, and enhance security. There are different types of analytics like marketing, web, people, and portfolio analytics. Portfolio analysis involves regularly reviewing a business's portfolio of securities or products to analyze risk and returns and make changes to improve performance.
business analytics and its importance, marketing analytics definition and its importance, how marketing analytics helps to run the organization in effective and efficient manner.
Intelibiz is a highly scalable cloud based BI platform that provides real time time actionable insights to business across all important functions like Merchandising, Finance, Operations, Supply chain etc. Unlike traditional ERP reporting solutions that are siloed in their architecture, Intelibiz provides businesses with the ability to generate cross functional insights in a matter of seconds. The platform is powered by Industry renowned tableau software leading to highly efficient data architecture and world class security standards. Its cloud based architecture removes the need of having extensive IT hardware on premise leading to better ROI for the business. All the reports and dashboards can be accessed from anywhere in the world across multiple devices enabling faster insights. The entire platform is highly configurable and can be customized as per the specific needs of the business. Deployment takes anywhere between 2 weeks to 6 depending upon the specific need and existing data architecture at the business.
This document discusses analytics and retail analytics. It defines analytics as discovering patterns in data through statistics, programming, and research. Retail analytics specifically aims to improve customer loyalty and sales. It does this by identifying valuable customers, understanding their preferences, and creating personalized shopping experiences through offers targeted to individual needs. Retailers can gather customer data through in-store and online analytics to gain insights that optimize performance.
Loyalytics is a boutique analytics consulting company helping businesses improve their customer loyalty across industries through the use of data and analytics. We help businesses convert data into an enterprise asset and leverage it to shape their customer strategy. Our mission is to be the “Voice of customers” for all our business partners.
Our capabilities span across the entire gamut of Analytics service offerings from Enterprise BI solutions for tracking and monitoring KPI’s to advanced data science solutions like Price optimization, Customer segmentations etc. Our Solutions can be clubbed into the following 5 verticals:
• Business Dashboards
• Customer Analytics
• Digital Analytics
• Merchandising Analytics
• Market Research
Our engagement model is very flexible and can be customized to the specific needs of the organization. From pure consulting assignment (Analytics Maturity assessment for business) to E2E deployment of specific analytics solutions, we do it all. For more information regarding our solutions/offerings please visit our website at www.loyalytics.in
The document discusses the role of analytics in e-commerce. It explains that analytics teams track user behavior using cookies to make recommendations of interest. Analytics helps improve the user experience on e-commerce sites and acts as a product itself through recommender engines. Some key functions of analytics include supply chain management, merchant analytics to redirect users, recommender systems, product analytics on satisfaction and sales, online marketing analytics, and user experience analytics to improve customer retention.
This document discusses the need to rethink traditional marketing analytics approaches and leverage big data solutions. It notes that while many firms want to be data-driven, few are good at taking action on data. Traditional approaches have limitations in scaling and real-time processing across new data sources like mobile and apps. A big data approach allows for a 360-degree customer view, real-time campaign adjustments, accurate customer value scoring, and understanding customer behavior patterns. It presents architectures for ingesting diverse customer data, building customer profiles, modeling to gain insights, and optimizing marketing based on those insights.
Business intelligence (BI) is a tool that analyzes raw business data from various sources like social media and online stores to provide insights. BI helps eCommerce businesses bridge gaps with customers, strengthen relationships with data, transform unstructured into structured data, discover opportunities, and guide future strategies. BI solutions allow businesses to perform customer, sales, inventory, and marketing analysis with just a few clicks.
The document discusses Axtria's services for motivating high performance sales teams through incentive compensation and rewards programs. Axtria provides advisory, implementation, and outsourcing services to help clients design compensation plans, set goals, track sales credits and payments, and report on plan effectiveness. Their cloud-based SalesIQ platform integrates these incentive compensation capabilities with sales planning, operations, and reporting tools.
This document provides an overview of how to use Salesforce Analytics to gain insights from marketing data. It introduces a framework for understanding marketer needs with strategic and tactical levels. The framework is based on a "closed-loop reporting" model tracking prospects through marketing qualified leads, opportunities, and closed won deals. Metrics at the strategic level benchmark key performance indicators across the funnel. Tactical metrics allow deep-dive optimization of channels, forms, pages and programs. An example applies the framework to a revenue goal scenario and discusses leveraging metrics to optimize conversions when goals are at risk. Advanced tips cover customization, senior sales roles, and issues with averages.
Designed to make the shopping experience simpler, faster and more convenient for consumers
Helping retailers to overhaul the buying experience that they offer their customers
The document discusses Magento Business Intelligence and how it helps merchants overcome common data and analytics challenges. It provides an overview of MBI's platform capabilities like data connection, consolidation, transformation, warehousing, analysis and visualization. It also outlines the Essentials and Pro tiers, included features, pricing and examples of how MBI has helped companies like Truly Experiences and Guideboat improve marketing ROI and identify qualified leads through data-driven insights.
Business Intelligence tool recommendation for ecommerceRud Boruah
This document analyzes and compares several business intelligence tools for ecommerce retailers: QlikView, Tableau/BIME, Splunk, and e-Commera. It finds that e-Commera is the best choice due to its retail focus, action-based recommendations, and low learning curve. BIME is recommended if cost is the primary factor. The analysis was conducted by Dhruv Boruah for a client using Magento and considers implementation time, costs over 1 and 3 years, features, and benefits of each tool.
Why You Should Run Your Procurement Organization Like a Consulting FirmJosh Stancil
We believe that by running procurement as if it were a for-profit business can lead to exceptional results. This presentation covers how to change your mindset and model your approach after high-performing consulting firms.
1) The document proposes using advanced data analytics to build knowledge of customer behavior, preferences, and aspirations in order to maximize revenue.
2) A case study uses data from an online beauty/personal care subsidiary to demonstrate how clustering, classification, and regression analyses can provide insights.
3) The analyses identify customer subgroups, predict which customers will churn, and forecast spending amounts. This knowledge can then be used to target marketing and improve customer retention and spending.
The document provides an overview of marketing analytics, including defining marketing analytics, key elements and capabilities, impact, and getting started with analytics. Some key points:
- Marketing analytics is the process of identifying valid performance metrics, tracking them over time, and using the results to improve marketing. The goal is to measure progress toward objectives.
- Key elements include people, steps, tools/technology, inputs and outputs. Capabilities include understanding performance and reporting it externally.
- Impacts can include optimizing brand recognition, content, channels, customer understanding, and predictive intelligence.
- Getting started involves assessing readiness, reviewing objectives, and establishing metrics like website, social media, email, and digital advertising metrics.
This document outlines reasons why merchants may or may not need a payment gateway. It defines processors, gateways, and alternatives like switches and middleware. Five reasons a gateway is needed are: for best-of-breed solutions, simplified architecture, security/tokenization, business flexibility, and favorable economics for mid-market merchants. Five reasons a gateway is not needed include economics favoring large merchants, flexibility to build components in-house, wanting end-to-end encryption, reducing transaction "hops", and estate management solutions. The document provides recommendations on gateway vs. non-gateway options based on merchant size and processing needs.
steps included in the analytics process
why marketing analysis.
advantages of marketing analytics
the framework of marketing analytics
future of marketing analytics,
how analytics helped amazon small case study.
1. Sales and marketing analytics uses descriptive, diagnostic, predictive, and mechanistic analytics types to generate insights from business data in areas like consumer behavior, customer segmentation, pricing, recommendations, and sales force performance.
2. Common applications of analytics include understanding consumer behavior, customer segmentation, marketing mix optimization, and sales force efficiency.
3. Popular tools for sales and marketing analytics include Zoho Analytics, Yellowfin, Looker, Microsoft Excel, and various report generation and data visualization software.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
QueBIT is a trusted expert in business analytics. They help organizations apply analytics to key functions to improve performance. QueBIT uses a collaborative approach to implement customized analytics solutions tailored for each client. Their solutions and expertise span data management, business intelligence, and advanced analytics. This allows clients to gain insights from their data to make better decisions and outperform competitors.
The document describes the services of Asif Digital, a strategy and analytics consulting firm led by Asif Hameed, who has 20 years of experience helping businesses digitally transform through developing strategic plans, delivering value through digitalization, and optimizing customer engagement using data science and machine learning. Asif Digital assists clients across industries with initiatives like maximizing customer lifetime value, reducing churn, generating new leads, and developing digital products and services.
Optimove is a customer relationship management and marketing automation platform that uses artificial intelligence and predictive analytics to power personalized customer communications. Its mission is to help brands autonomously transform customer data into actionable insights to drive measurable growth. Optimove is used by over 500 companies to create hyper-personalized marketing campaigns across channels that increase customer engagement, retention, and lifetime value. It implements a science-driven approach combining predictive analytics, AI optimization, and multi-channel campaign orchestration to deliver the right message to each customer.
The document discusses where to build a product/service cost model - within a planning tool or actuals-tracking systems. It recommends building the cost model within the planning tool first as this allows investment-based budgeting and setting rates for the upcoming year. While actuals-tracking systems can show revenues and expenses, a cost model there is only needed to analyze specific product/service profitability for efficiency improvements. The best approach is to start with cost modeling in the planning tool, then use those rates for invoicing and governance, and optionally replicate the cost model in actuals-tracking systems later.
Datamine provides data-intensive information technology solutions & services for Telecoms, Banking & Retail industry. Our offering answers the needs of modern management for analytics, process insight, business & market intelligence.
Our products are based on CAS platform - Competition Analysis System - which enables a new range of capabilities for Market insight, price analytics, personalized customer offerings & market strategy. Click 'download' below to get a full corporate profile.
Expertise
Business Intelligence
Market Intelligence
Price Analytics
Data mining
Customer Segmentation
Marketing databases
Recommendation engines
Online CRM components
Campaign Optimization
Understanding and winning your customers in the big data era ( retail industry)Kim Ming Teh
Section 1: Understand & winning your customer in big data era
1) The age of customer & Key trends in retail
2) Big data analytic and use case
Section 2: Interactive Case study
Offline vs Online Retail & Omni-Channel Future
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
1. Aquila Insight helped a UK insurer better understand customer sentiment and brand perception to transform their renewal pricing approach.
2. They built models combining customer, product, and transaction data with survey results, allowing the insurer to tailor prices to customer segments.
3. This enabled the insurer to outcompete on high-value customers and consider how customers value the brand in pricing and communications.
How To Pick The Best Analytics Tools: Product Analytics Landscape
Here, we’ll talk about assessment criteria, key features, and greater for deciding on systems and gear that match your enterprise app development desires.
Choosing the right solution for your data
Because massive facts apply to the sort of huge spectrum of use app development instances, packages, and industries, it’s difficult to nail down a definitive listing of choice criteria.
Types of data analytics tools & key features
What is the gear used for massive facts analytics? Data analytics tools gear constitute a huge category, though they have a tendency to fall into some key groups.
Customer data platforms
Customer data platforms like customer relationship management platforms (CRM) seize purchaser facts that may be used to enhance strategies or promote products. However, CDPs take matters to the following level.
Core capabilities:
• 360-diploma view of the purchaser.
• Connect more than one fact source.
• Unifies purchaser facts throughout all linked structures.
• Improve concentrated on for advertising campaigns.
Business intelligence (BI) tools
Today’s business intelligence (BI) assists companies to see iOS app development and apprehend facts. According to gartner, BI gear span 3 major categories. Online analytical processing, or OLAP, permits fact discovery, ad-hoc reporting, simulation fashions, overall performance control, and different complicated evaluation abilities. There’s additionally statistics transport–which serves up insights within the shape of visualizations, reports, and dashboards. And finally, BI integration–which offers metadata control and imparting app developers surroundings to assist your method.
Core capabilities:
• Data visualization.
• Predictive modeling.
• Data mining.
• Forecasting.
Customer analytics tools
Customer analytics is designed to control the overall analytics technique from guidance to perception generation. In maximum instances, purchaser analytics systems include web development pre-built facts fashions for forecasting, propensity to buy, and numerous statistical evaluation strategies to apprehend purchaser conduct and optimize products, offerings, and reports.
Core capabilities:
• Granular segmentation.
• Customer satisfaction Insights.
• Statistical modeling.
• Acquisition, retention, & churn metrics.
Digital experience platforms
Digital experience platforms is a new kind of enterprise-grade software development designed to optimize the purchaser revel in at each touchpoint. While DXPs overlap with purchasers revel in control systems, DXPs cognizance greater on streamlining strategies, coordinating and personalizing content material to customers throughout an extensive variety of channels which include the Internet of Things (IoT), virtual assistants, VR reports, and greater.
Core capabilities:
• API-first structure.
• Multi-touchpoint control.
• Dynamic templates for automating personalization.
• Content control and transport.
Pricing Innovations: Value Based Pricingpricingpros
Value Based Pricing has four structures:
Product structure: How value is created and perceived
Offer structure: How value is offered and accessed
Pricing structure: How value is monetized and realized
Cost structure: How value provides competitiveness and profitability.
And a pricing plan has three components: pricing structure, pricing model, pricing window.
Capgemini’s Smart Procurement Management enables
efficient use of procurement data of an organization and
drive resources towards outcome‑based management as
against traditional ways of management through process
efficiency to reduce / control costs
Sales, Marketing & Service Optimization: Strategies for Accelerating GrowthCognizant
The document discusses strategies for accelerating revenue growth through sales, marketing, and service optimization. It argues that while technology has enabled cost savings, companies must now focus on top-line growth. A holistic approach is needed that considers customer relevance, sales effectiveness, marketing effectiveness, and service effectiveness. Implementing the right digital systems can guide professionals towards behaviors and processes that generate disruptive revenue growth, but companies must first understand their strategic objectives and performance issues. The document provides examples of how optimizing these areas through the right technologies has helped companies increase revenue.
Digital analytics provides insights into customer behaviors online to continually improve the customer experience and drive business outcomes. A complete digital analytics model includes measuring customer actions, reporting on performance, analyzing data through segmentation, testing optimizations, and improving practices based on learnings. Developing a measurement plan is the first step, defining objectives, goals, key performance indicators, targets, and data segments. The plan informs the infrastructure roadmap, implementation plan, activation plan, and maintenance process to evolve analytics over time. Holistic, active, and media-agnostic measurement approaches account for all relevant customer touchpoints across channels and devices.
We offer dissertation, assignment, thesis and research proposal experts at a pro level in the UK. We offer affordable price dissertation writing service with unique quality work to our clients. Furthermore, our service is completely unspecified so you may use it with complete belief at Dissertation Experts UK. This is the first time you have deliberated getting a PhD dissertation expert after analyzing the research and writing procedure.
Customer analytics. Turn big data into big valueJosep Arroyo
BIRT Analytics is a customer analytics solution that allows companies to gain valuable insights from big data. It integrates data from multiple sources, analyzes large volumes of data, and provides clear and granular customer information. Tools allow users to explore data, identify patterns, profile customers, and forecast trends. Advanced analytics help optimize marketing, identify cross-sell opportunities, and understand customer behavior. The solution aims to help companies understand customer needs and adapt strategies based on real customer data.
Use Sales Data to Develop a Customer-Centric Sales ApproachAnalytics8
This document discusses how companies can leverage sales analytics to improve business performance. It recommends analyzing five key areas: sales pipeline accuracy, sales performance, customer profiles, customer behavior, and sales targeting. Advanced analytical techniques like machine learning can provide deeper insights into customer motivations and traits to better inform sales strategies. Maintaining a data-driven approach that prioritizes ethics can help companies enhance customer segmentation and identify the best prospects to target.
Explicato provides business analytics and consulting services to retailers to help them better understand customer behavior and improve strategies. They conduct in-depth market research using unique methods focused on understanding customers' motivations. Explicato also builds data warehouses and business intelligence platforms for retailers that integrate various data sources. This provides retailers operational and analytical reports as well as advanced analytics capabilities.
Evangelize specializes in optimizing digital end user experiences through transformational business consulting. They help clients build and improve product portfolios to drive digital revenue. Evangelize provides a defined digital experience platform that orchestrates applications and services. Their performance framework focuses on digital revenue generation, business model innovation, end user enablement, and life cycle extension to create maximum business value through strategic products, engaged people, optimized processes, and sustained product value.
Similar to Predictive Price Optimization 2018 - Achilles - QueBIT Consulting (20)
QueBIT Agile Crisis Planning - A Better Way to Plan for Uncertain TimesQueBIT Consulting
The QueBIT solution, which was built on IBM Planning Analytics, enabled the client to achieve two things that were not possible before the implementation. First, the solution identified correlations between historical sales and external factors such as inflation, Consumer Price Index (CPI), Gross Domestic Product (GDP), and commodity prices. This process which was built on IBM Planning Analytics and enhanced using QueBIT’s Euclid Studio tool, validated some prior assumptions by the business, while invalidating others. Second, the solution made it possible for the client to create numerous scenarios around reopening and consumer behaviors, including calculations of the resulting impact to business performance (volume and mix by channel). The future is still dynamic, and the QueBIT solution allows the business to identify its best assumptions and the resulting financial plan based on those assumptions.
JLG Case Study: Prescriptive Analytics & CPLEX Decision Optimization and TM1 ...QueBIT Consulting
The document discusses how JLG Industries used IBM Planning Analytics and CPLEX Decision Optimization integrated with TM1 to automate and optimize their master production scheduling process. This resulted in estimated annual savings of $700K from reducing the scheduling time from 10 days to 3 days per month, and $2.5M from improved forecast accuracy. The solution aligned production slot allocation across different factors based on optimization rules in 12 minutes, compared to 10 days previously.
Webinar December 2018 - Planning Analytics Workspace (PAW) Tips & Tricks. Today’s webinar is part of an advanced webinar series offered by QueBIT. Our next webinar is scheduled for Thursday, January 10th at 2pm Eastern. Learn about the advancements in the Cognos Analytics 11.1 release. These changes will bring the power of artificial intelligence, machine learning, and advanced analytics to all Cognos Analytics users to empower, enlighten, and facilitate a new breed of boundless data explorers! Register today by accessing the Events page on our website at quebit.com/news-events.
Telling “Your Story” Using Cognos Analytics WebinarQueBIT Consulting
Agenda:
-Introduction to QueBIT
-Overview of data “stories”
-Defining key elements in an effective “story”
-Demonstration of data delivery using these elements
-A technical dive into the Cognos Analytics features used in the demonstration
The Importance of Performance Testing Theory and Practice - QueBIT Consulting...QueBIT Consulting
Why is good testing so hard to do? Not Enough Time. Not Enough Testers. Inconsistent or Incomplete Test Scripts. Lack of Performance Metrics. Difficult to Summarize Results
Practical Implementation Tips For Implementing a Financial Planning - QueBIT ...QueBIT Consulting
We’re driven to help organizations improve their agility to make intelligent decisions that create value.
This is why we’re committed to excellence in analytics strategy, implementation, and training.
QueBIT Planning is a cloud-based financial planning and analytics solution that allows customers to leverage the benefits of TM1 without the cost and overhead of an on-premise system. It can replace an existing problematic planning process within weeks with a streamlined, collaborative cloud model. Key benefits include reusable Excel reports, predictive modeling, minimal training needs, an intuitive user experience, and rapid implementation managed by QueBIT.
Webinar Agenda:
-Brief QueBIT Introductions
-What is Price Optimization?
-QueBIT’s Approach to Price Optimization
-Achilles Demonstration
-Key Benefits
While predictive analytics is based on sophisticated mathematics, Achilles gives deep insights into how these models work. These models consume all available data (not just price) to ensure that pricing recommendations are realistic and take into account the dynamic market place.
QueBIT Planning is a cloud-based financial planning and analytics solution that will enable customers to use all the benefits of TM1 without the cost or overhead of owning an on-premise custom application.
JLG Case Study - Prescriptive Analytics & CPLEX Decision Optimization and TM1...QueBIT Consulting
The document discusses how JLG Industries used IBM Planning Analytics and CPLEX Decision Optimization integrated with TM1 to automate and optimize their master production scheduling process. This resulted in estimated annual savings of $700K from reducing the scheduling time from 10 days to 3 days per month, and $2.5M from improved forecast accuracy. The solution aligned production plans from their Sales, Inventory, and Operations Plan more quickly and accurately to improve supplier forecasts.
Introduction to TM1 TurboIntegrator Debugger Webinar - Quebit ConsultingQueBIT Consulting
Today’s webinar is part of a monthly advanced webinar series offered by QueBIT. Register for future webinars by accessing the events page on our website at quebit.com/news-events
AGENDA:
What is the TurboIntegrator Debugger?
Main Features/Main Window Walkthrough
How will the TI debugger help me?
Limitations
Installation and Configuration
QueBIT aims to make it easy to help you find the right information. Our mission is to empower you with the training you need, so that you can apply analytic techniques with confidence. We want you to succeed and see the power in the data that is at your fingertips, so that you can make better informed decisions. QueBIT is a full-service operation, offering flexible training sessions to meet your busy schedules. Our training is presented by certified, expert, technical trainers.
Cognos Analytics/Business Intelligence Training Catalog - Self Paced, Instruc...QueBIT Consulting
QueBIT aims to make it easy to help you find the right information. Our mission is to empower you with the training you need, so that you can apply analytic techniques with confidence. We want you to succeed and see the power in the data that is at your fingertips, so that you can make better informed decisions. QueBIT is a full-service operation, offering flexible training sessions to meet your busy schedules.
Auditable Financial System for Government Contracting at Accenture Federal Se...QueBIT Consulting
AGENDA:
Introductions and Company Overview
Government Contracting Industry Overview
AFS TM1 Model Overview
Business and Architectural Challenges
Solution Approach
Outcome and Results Achieved
Enhancements since Re-Architecture
Future Plans/Developments
Closing Statement
Q&A Session
Leveraging IBM Cognos TM1 for Merchandise Planning at Tractor Supply Company ...QueBIT Consulting
AGENDA:
Introductions and Company Overviews
TSC Merchandise Planning Solution Overview
Prior State
Solution and Implementation
Tips & Tricks for TM1 Perspectives Templates
Q&A
AGENDA:
Introductions and Company Overviews
JLG Master Scheduling Solution Overview
Problem Overview
What is CPLEX?
CPLEX & TM1 Integration
Solution and Implementation
Q&A
AGENDA:
Introductions and Company Overviews
Stein Mart’s Business Objectives
Leveraging the IBM Cloud and QueBIT FrameWORQ to maximize time to value
Stein Mart’s Reporting Solution
Results Achieved
iQue on IBM BlueMix Can Increase Your TM1 Forecast Accuracy - IBM Vision Conf...QueBIT Consulting
This document discusses iQue, a connector created by QueBIT Consulting that allows IBM Planning Analytics (TM1) to integrate with external data sources and applications via IBM Bluemix. The document outlines an agenda to discuss QueBIT, predictive demand planning using their Euclid engine, and how iQue can help improve TM1 forecast accuracy by connecting it to external predictive models and messaging services. A demo is shown of using iQue to send historical TM1 data to Euclid for predictive forecasting and loading the results back into TM1.
Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
Introduction
The global retail industry has weathered numerous storms, with the financial crisis of 2008 serving as a poignant reminder of the sector's resilience and adaptability. However, as we navigate the complex landscape of 2024, retailers face a unique set of challenges that demand innovative strategies and a fundamental shift in mindset. This white paper contrasts the impact of the 2008 recession on the retail sector with the current headwinds retailers are grappling with, while offering a comprehensive roadmap for success in this new paradigm.
The Evolution and Impact of OTT Platforms: A Deep Dive into the Future of Ent...ABHILASH DUTTA
This presentation provides a thorough examination of Over-the-Top (OTT) platforms, focusing on their development and substantial influence on the entertainment industry, with a particular emphasis on the Indian market.We begin with an introduction to OTT platforms, defining them as streaming services that deliver content directly over the internet, bypassing traditional broadcast channels. These platforms offer a variety of content, including movies, TV shows, and original productions, allowing users to access content on-demand across multiple devices.The historical context covers the early days of streaming, starting with Netflix's inception in 1997 as a DVD rental service and its transition to streaming in 2007. The presentation also highlights India's television journey, from the launch of Doordarshan in 1959 to the introduction of Direct-to-Home (DTH) satellite television in 2000, which expanded viewing choices and set the stage for the rise of OTT platforms like Big Flix, Ditto TV, Sony LIV, Hotstar, and Netflix. The business models of OTT platforms are explored in detail. Subscription Video on Demand (SVOD) models, exemplified by Netflix and Amazon Prime Video, offer unlimited content access for a monthly fee. Transactional Video on Demand (TVOD) models, like iTunes and Sky Box Office, allow users to pay for individual pieces of content. Advertising-Based Video on Demand (AVOD) models, such as YouTube and Facebook Watch, provide free content supported by advertisements. Hybrid models combine elements of SVOD and AVOD, offering flexibility to cater to diverse audience preferences.
Content acquisition strategies are also discussed, highlighting the dual approach of purchasing broadcasting rights for existing films and TV shows and investing in original content production. This section underscores the importance of a robust content library in attracting and retaining subscribers.The presentation addresses the challenges faced by OTT platforms, including the unpredictability of content acquisition and audience preferences. It emphasizes the difficulty of balancing content investment with returns in a competitive market, the high costs associated with marketing, and the need for continuous innovation and adaptation to stay relevant.
The impact of OTT platforms on the Bollywood film industry is significant. The competition for viewers has led to a decrease in cinema ticket sales, affecting the revenue of Bollywood films that traditionally rely on theatrical releases. Additionally, OTT platforms now pay less for film rights due to the uncertain success of films in cinemas.
Looking ahead, the future of OTT in India appears promising. The market is expected to grow by 20% annually, reaching a value of ₹1200 billion by the end of the decade. The increasing availability of affordable smartphones and internet access will drive this growth, making OTT platforms a primary source of entertainment for many viewers.
Recruiting in the Digital Age: A Social Media MasterclassLuanWise
In this masterclass, presented at the Global HR Summit on 5th June 2024, Luan Wise explored the essential features of social media platforms that support talent acquisition, including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok.
IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
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Top mailing list providers in the USA.pptxJeremyPeirce1
Discover the top mailing list providers in the USA, offering targeted lists, segmentation, and analytics to optimize your marketing campaigns and drive engagement.
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
Structural Design Process: Step-by-Step Guide for BuildingsChandresh Chudasama
The structural design process is explained: Follow our step-by-step guide to understand building design intricacies and ensure structural integrity. Learn how to build wonderful buildings with the help of our detailed information. Learn how to create structures with durability and reliability and also gain insights on ways of managing structures.
At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
Company Valuation webinar series - Tuesday, 4 June 2024FelixPerez547899
This session provided an update as to the latest valuation data in the UK and then delved into a discussion on the upcoming election and the impacts on valuation. We finished, as always with a Q&A
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...my Pandit
Explore the fascinating world of the Gemini Zodiac Sign. Discover the unique personality traits, key dates, and horoscope insights of Gemini individuals. Learn how their sociable, communicative nature and boundless curiosity make them the dynamic explorers of the zodiac. Dive into the duality of the Gemini sign and understand their intellectual and adventurous spirit.
2. Trusted Experts in Analytics
Achilles
Predictive Price Optimization - Pricing products
and services effectively is key to retaining customers,
growing market share and maximizing revenue/gross
margin. An effective price optimization platform, must be able to identify price changes
that drive these corporate goals in a user friendly, interactive environment. In addition, the
price optimization process must be transparent. Handing your data over to a black box, that
generates numbers using some unknown process is a thing of the past with Achilles. Achilles
gives deep insight into how pricing recommendations are made. Achilles also gives a better
understanding of your customers; how they behave and how you can strengthen your
relationship with them through effective pricing strategies.
Customer Segmentation
Achilles provides an effective, behavior
based segmentation of customers as the
basis for pricing zones. This bottoms
up segmentation is driven by data not
preconceived notions. This means
that Achilles allows data to decide
how customers should be grouped to
maximize the effectiveness of pricing
recommendations. Our experience has
shown that segmenting customers based
on their buying behavior (and elasticity
of demand) always outperforms so
called “intuitive” customer segmentation.
These customer segmentations can also
drive insights into how your customers
will respond to future pricing changes,
promotions and how likely they are to
churn.
Product Segmentation
Achilles also takes a data driven
approach to segmenting products
based on customer buying patterns.
The elasticity of every product is
measured across every customer
segment. Grouping products based
on elasticity can lead to a deeper
understanding of your products.
Traditional aggregations of demand
based on categories can be replaced
with new product segments that more
closely align with customer demand
and behavior.
Price Optimization,
Automation & Analytics
3. Deep Insights into Pricing Recommendations
Predictive analytics and mathematical optimization
provide massive business benefit. Price optimization is
a classic example of where these two techniques have
driven incredible competitive advantages in the retail and
services industries. Achilles provides all the business
benefit of price optimization but also gives insights
into how pricing recommendations are made (no black
boxes). Achilles provides detailed understanding of
customer and product segments through simple metrics
and visualizations. Achilles also provides predictive
model insights such as ranking driver importance for all
drivers including prices. Finally, Achilles shows how every
pricing recommendation is made with easy to understand
visualizations.
Interactive Pricing & Workflow
Achilles has an interactive interface that allows you to
model different pricing scenarios and fully model the impact
(all the way down to an income statement) with detailed
financial reporting. Achilles also has a fully configurable
workflow allowing the pricing team to collaborate with
the rest of business to arrive at shared business goals.
Benefits:
• Increased revenue/margin
• Increased customer
retention
• Market share growth
• Deep insights into
customers/products
"Price optimization
avoids loss; loss
of a customer
because you priced
too high, or loss
of margin because
you priced too
low. You are likely
losing customers
and margin every
day without price
optimization"
- Gary Quirke, CEO