This document provides a summary of a candidate's qualifications and experience in category management, retail planning, data analysis, and software proficiency. The candidate has extensive experience with retail planning and analysis software, as well as expertise in allocating inventory, assortment planning, and creating analytical reports. Currently serving as a Category Business Analyst, their responsibilities include data cleaning, assortment planning using various software tools, generating reports, and implementing process improvements.
The document discusses the author's experience and skills in category management, including extensive experience with retail planning and analytical software, retail data analysis, category space management, and allocation processes. They have strong analytical and software skills, including advanced Excel skills like complex formulas and macros. They are currently working as a Category Business Analyst, performing tasks like data retrieval, cleaning, analysis, and assortment planning using various software tools.
This document provides a summary of the author's professional experience and skills in category management, including extensive experience with retail planning and analytical software, retail and IRI data, category management, space management, and allocation processes. The author has strong analytical and software skills and experience developing complex formulas and macros in Microsoft Excel to improve processes and create professional reports.
This document provides a summary of the author's professional experience and skills in category management, retail planning, and data analysis. They have extensive experience with retail planning and analytical software, as well as expertise in working with retail data. Their skills include developing assortment plans, creating analytical reports, and automating processes through Excel macros and VBA coding. They aim to maximize efficiency and provide meaningful analysis to support business decisions.
This document contains a resume for Avinash Bharti for the role of Senior MIS Executive. It includes his contact information, educational qualifications including an MBA and BCA, over 8 years of experience in roles like MIS Officer and Executive, skills in MS Office, databases, programming languages, and personal details. His experience includes managing MIS databases, payroll, inventory, and generating various reports for companies in industries like real estate, footwear, and automobiles.
This is a group assignment by my students on Chapter 2 Retail Sales of the book The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
By Ralph Kimball, Margy Ross
This document discusses optimizing the analytics process for a Brazilian e-commerce company called Olist. It begins with an overview of the client scenario and scattered data. The goals are to create a normalized database, optimize the ETL process, and automate analytics insights. It describes plans to normalize the data across multiple tables, extract data from CSV files, transform and clean the data, and load it into a PostgreSQL database. Analytical procedures and dashboard benefits are discussed for various business roles. Instructions are provided for building metrics, reviewing performance, and improving the process.
SAP Training in MM SD IS Retail SAP24x7 Manoj Gupta
This presentation is about SAP Training, our company will provide corporate training in SAP in various SAP Modules such as MM IS Retail SD POSDM HANA
Link for our website is <a>SAP24x7 </a>
The document discusses an ERP marketing module presentation. It begins with an introduction to ERP systems and what they are used for. It then focuses on the marketing module, explaining that it allows organizations to maximize marketing efficiencies and empower marketers. The marketing module supports critical processes like marketing resource management, campaign management, surveys, lead management, and analytics. It provides examples of how each of these processes works and the benefits they provide for marketing functions.
The document discusses the author's experience and skills in category management, including extensive experience with retail planning and analytical software, retail data analysis, category space management, and allocation processes. They have strong analytical and software skills, including advanced Excel skills like complex formulas and macros. They are currently working as a Category Business Analyst, performing tasks like data retrieval, cleaning, analysis, and assortment planning using various software tools.
This document provides a summary of the author's professional experience and skills in category management, including extensive experience with retail planning and analytical software, retail and IRI data, category management, space management, and allocation processes. The author has strong analytical and software skills and experience developing complex formulas and macros in Microsoft Excel to improve processes and create professional reports.
This document provides a summary of the author's professional experience and skills in category management, retail planning, and data analysis. They have extensive experience with retail planning and analytical software, as well as expertise in working with retail data. Their skills include developing assortment plans, creating analytical reports, and automating processes through Excel macros and VBA coding. They aim to maximize efficiency and provide meaningful analysis to support business decisions.
This document contains a resume for Avinash Bharti for the role of Senior MIS Executive. It includes his contact information, educational qualifications including an MBA and BCA, over 8 years of experience in roles like MIS Officer and Executive, skills in MS Office, databases, programming languages, and personal details. His experience includes managing MIS databases, payroll, inventory, and generating various reports for companies in industries like real estate, footwear, and automobiles.
This is a group assignment by my students on Chapter 2 Retail Sales of the book The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
By Ralph Kimball, Margy Ross
This document discusses optimizing the analytics process for a Brazilian e-commerce company called Olist. It begins with an overview of the client scenario and scattered data. The goals are to create a normalized database, optimize the ETL process, and automate analytics insights. It describes plans to normalize the data across multiple tables, extract data from CSV files, transform and clean the data, and load it into a PostgreSQL database. Analytical procedures and dashboard benefits are discussed for various business roles. Instructions are provided for building metrics, reviewing performance, and improving the process.
SAP Training in MM SD IS Retail SAP24x7 Manoj Gupta
This presentation is about SAP Training, our company will provide corporate training in SAP in various SAP Modules such as MM IS Retail SD POSDM HANA
Link for our website is <a>SAP24x7 </a>
The document discusses an ERP marketing module presentation. It begins with an introduction to ERP systems and what they are used for. It then focuses on the marketing module, explaining that it allows organizations to maximize marketing efficiencies and empower marketers. The marketing module supports critical processes like marketing resource management, campaign management, surveys, lead management, and analytics. It provides examples of how each of these processes works and the benefits they provide for marketing functions.
The document discusses the key considerations for developing a data warehouse and reporting system for a retail organization. It emphasizes that the analytical phase is most important for setting expectations and determining what data to include. The desired system would provide one-stop sales and inventory reports with high-level and drill-down capabilities. It should allow automated, web-based access to standardized reports from any location.
Sakhile Gatyeni is a qualified MIS Analyst with 9 years of experience in business systems analysis, information management, and IT. He currently works as the Head of Technology and MIS Analyst at Sabcool Refrigeration, where he manages the organization's Microsoft AX Dynamics system, servers, networking, and other technologies. Prior to this role, he held technical analyst and support positions at Barclays Africa and other companies.
Transforming B2B Sales with Spark Powered Sales IntelligenceSongtao Guo
This is the presentation we delivered in Spark Summit 2017, San Francisco
Title: Transforming B2B Sales with Spark Powered Sales Intelligence
Presenters: Songtao Guo and Wei Di
It gives an overview of our Apache Spark powered B2B intelligence engine we developed at Linkedin and its use cases.
SAP for Retail is an industry-specific application software from the software vendor SAP AG and is focused on the global retailing industry. SAP for Retail is a set of software solutions that supports demand management, merchandise management and planning, supply chain, store operations, and base financials and Human Resource Capital functions.
This document describes the job profile of Vinay, a MIS analyst focused on project management and operations. Key responsibilities include creating periodic corporate reports, charts, graphs and PowerPoint presentations to analyze business performance and support management decision making. Vinay also coordinates with teams to maintain accurate databases, import data from various tools, conduct comparative analyses, and present updates at management meetings. Strong qualifications include over 10 years of experience as a data analyst, proficiency with Excel, VBA macros, Access, and Outlook, as well as communication skills.
The Sales Analyst is responsible for collecting, analyzing, and reporting sales data to increase sales productivity. They must collect sales records, evaluate performance against quotas, and track key performance indicators. The Sales Analyst will create both standardized and custom reports to conduct quantitative analysis and provide support for promotions. They are also responsible for developing tools and processes to improve operational efficiency.
SAP BW/4HANA - The Intelligent Enterprise Data WarehouseStridely Solutions
SAP BW4HANA is next generation of SAP Business Warehouse tailored to SAP HANA helps to consolidate the data across the enterprise to get a consistent and agreed view with flexible data management capabilities in a modernized user experience.
Orqubit Business Intelligence provides reports, MIS and dashboards for Tally.ERP9, custom applications, ERPs and a variety of databases. Orqubit BI has been implemented across different industry verticals. For more information about Orqubit BI visit http://www.orqubit.com
Data warehouse implementation design for a Retail businessArsalan Qadri
The document contains an end to end data warehouse design - from SKU procurement to SKU Sale. Additionally, a BI dashboard has been created in Tableau, to mine the warehouse, with SKU as the grain. The data can be aggregated at levels of Supplier/Store/Location/Inventory/Sale Date/Time in Warehouse etc.
SAP Business One is a software solution that provides small and midsize businesses with tools to manage accounting, sales, purchasing, inventory, and reporting. It offers a complete and customizable system that integrates all critical business information for real-time access across the organization. SAP Business One helps streamline business processes, provide visibility into all areas of the business, and support better decision-making to help companies successfully manage operations and growth.
Businesses like yours have big goals. But it’s
easy to lose focus when a flood of day-to-day
operational details, ad hoc requests for
information, and nonstop competitive moves
demand your full attention. The SAP® Business One application offers an affordable way to manage
your entire business – from sales and customer relationships to financials
and operations. See more
An ERP system is an enterprise-wide software that coordinates resources, activities, and information needed to complete business processes. It has modules for human resources, supply chain management, customer relationship management, finance, and manufacturing. ERP architecture is organized into three layers - the data tier focuses on data structure, the business tier includes business logic and user interaction, and the presentation tier is the user interface. ERP systems can use two-tier, three-tier client/server, web-based, or oriented architectures. The logical architecture separates components while the physical focuses on efficiency. ERP features include separation of code and data and modules for business functions, sales, production, materials, finance, and personnel.
Reporting refers to the presentation of organized customer data in textual or graphical formats to help managers make informed decisions. Raw customer data collected from various sources is not useful unless cleaned up and structured. Modak Analytics provides a customizable reporting solution that integrates with CRM tools. It features over 200 report templates, graphical representations of data, and the ability to view real-time and historical reports. The solution benefits users by allowing them to quickly configure their own reports, dig up information through tight CRM integration, use multimedia features to share reports, and securely access reports.
This document provides an overview and summary of Hyperion products and the Hyperion System 9 platform. It describes the key components of Hyperion including BI+, Planning, Performance Management, and Essbase. It then summarizes the typical architecture of a multidimensional database with Essbase and the lifecycle of building an Essbase database including dimensional modeling, data loading, and reporting.
Universal Analytics and Google Tag Manager - Superweek 2014Yehoshua
This document provides an overview and training on using Universal Analytics and Google Tag Manager (GTM). It discusses setting up tracking in UA using GTM, including tags, rules, macros and sample tag implementations. It emphasizes that building a strategic "smart data layer" based on business objectives and questions leads to better decisions. Specifically, it recommends dividing unique purchases by unique pageviews to measure conversion rates, and capturing profit metrics using server-side tagging to provide more actionable analytics.
This ppt includes an overview of
-OPS Data Mining method,
-mining incomplete servey data,
-automated decision systems,
-real-time data warehousing,
-KPIs,
-Six Sigma Strategy and its possible intergation with Lean approach,
-summary of my OLAP practice with Northwind data set (Access)
A winning sales and marketing strategy for erp businessesRoadmap ERP
The sales and marketing of Enterprise Resource Planning (ERP) software is an entirely Business to Business (B2B) transaction. As the need for an ERP software solution differs from industry to industry and, within industry types, from company to company, the key factor in the marketing of ERP is the preliminary research to identify the exact segment for pitching the sales note.
This document summarizes the skills and experience of a Category Management professional with extensive experience in retail planning, replenishment, and analytics software. They have expertise in analyzing retail data, category management, space planning, allocation processes, and forecasting models. They are highly skilled with Microsoft Excel, including the ability to write macros, extract and analyze data, and create complex formulas and reports.
Rick Watkins Power Point Presentation on Automation efficienciesrickwatkins
This document provides a summary of the author's professional experience and skills in category management, retail planning, and data analysis. It highlights extensive experience using various retail planning and analytical software, as well as expertise in allocating inventory, creating assortment plans, and producing analytical reports using Excel macros and other tools. The author has skills in automating processes, extracting and cleaning data, and implementing improvements to workflows.
The document discusses the key considerations for developing a data warehouse and reporting system for a retail organization. It emphasizes that the analytical phase is most important for setting expectations and determining what data to include. The desired system would provide one-stop sales and inventory reports with high-level and drill-down capabilities. It should allow automated, web-based access to standardized reports from any location.
Sakhile Gatyeni is a qualified MIS Analyst with 9 years of experience in business systems analysis, information management, and IT. He currently works as the Head of Technology and MIS Analyst at Sabcool Refrigeration, where he manages the organization's Microsoft AX Dynamics system, servers, networking, and other technologies. Prior to this role, he held technical analyst and support positions at Barclays Africa and other companies.
Transforming B2B Sales with Spark Powered Sales IntelligenceSongtao Guo
This is the presentation we delivered in Spark Summit 2017, San Francisco
Title: Transforming B2B Sales with Spark Powered Sales Intelligence
Presenters: Songtao Guo and Wei Di
It gives an overview of our Apache Spark powered B2B intelligence engine we developed at Linkedin and its use cases.
SAP for Retail is an industry-specific application software from the software vendor SAP AG and is focused on the global retailing industry. SAP for Retail is a set of software solutions that supports demand management, merchandise management and planning, supply chain, store operations, and base financials and Human Resource Capital functions.
This document describes the job profile of Vinay, a MIS analyst focused on project management and operations. Key responsibilities include creating periodic corporate reports, charts, graphs and PowerPoint presentations to analyze business performance and support management decision making. Vinay also coordinates with teams to maintain accurate databases, import data from various tools, conduct comparative analyses, and present updates at management meetings. Strong qualifications include over 10 years of experience as a data analyst, proficiency with Excel, VBA macros, Access, and Outlook, as well as communication skills.
The Sales Analyst is responsible for collecting, analyzing, and reporting sales data to increase sales productivity. They must collect sales records, evaluate performance against quotas, and track key performance indicators. The Sales Analyst will create both standardized and custom reports to conduct quantitative analysis and provide support for promotions. They are also responsible for developing tools and processes to improve operational efficiency.
SAP BW/4HANA - The Intelligent Enterprise Data WarehouseStridely Solutions
SAP BW4HANA is next generation of SAP Business Warehouse tailored to SAP HANA helps to consolidate the data across the enterprise to get a consistent and agreed view with flexible data management capabilities in a modernized user experience.
Orqubit Business Intelligence provides reports, MIS and dashboards for Tally.ERP9, custom applications, ERPs and a variety of databases. Orqubit BI has been implemented across different industry verticals. For more information about Orqubit BI visit http://www.orqubit.com
Data warehouse implementation design for a Retail businessArsalan Qadri
The document contains an end to end data warehouse design - from SKU procurement to SKU Sale. Additionally, a BI dashboard has been created in Tableau, to mine the warehouse, with SKU as the grain. The data can be aggregated at levels of Supplier/Store/Location/Inventory/Sale Date/Time in Warehouse etc.
SAP Business One is a software solution that provides small and midsize businesses with tools to manage accounting, sales, purchasing, inventory, and reporting. It offers a complete and customizable system that integrates all critical business information for real-time access across the organization. SAP Business One helps streamline business processes, provide visibility into all areas of the business, and support better decision-making to help companies successfully manage operations and growth.
Businesses like yours have big goals. But it’s
easy to lose focus when a flood of day-to-day
operational details, ad hoc requests for
information, and nonstop competitive moves
demand your full attention. The SAP® Business One application offers an affordable way to manage
your entire business – from sales and customer relationships to financials
and operations. See more
An ERP system is an enterprise-wide software that coordinates resources, activities, and information needed to complete business processes. It has modules for human resources, supply chain management, customer relationship management, finance, and manufacturing. ERP architecture is organized into three layers - the data tier focuses on data structure, the business tier includes business logic and user interaction, and the presentation tier is the user interface. ERP systems can use two-tier, three-tier client/server, web-based, or oriented architectures. The logical architecture separates components while the physical focuses on efficiency. ERP features include separation of code and data and modules for business functions, sales, production, materials, finance, and personnel.
Reporting refers to the presentation of organized customer data in textual or graphical formats to help managers make informed decisions. Raw customer data collected from various sources is not useful unless cleaned up and structured. Modak Analytics provides a customizable reporting solution that integrates with CRM tools. It features over 200 report templates, graphical representations of data, and the ability to view real-time and historical reports. The solution benefits users by allowing them to quickly configure their own reports, dig up information through tight CRM integration, use multimedia features to share reports, and securely access reports.
This document provides an overview and summary of Hyperion products and the Hyperion System 9 platform. It describes the key components of Hyperion including BI+, Planning, Performance Management, and Essbase. It then summarizes the typical architecture of a multidimensional database with Essbase and the lifecycle of building an Essbase database including dimensional modeling, data loading, and reporting.
Universal Analytics and Google Tag Manager - Superweek 2014Yehoshua
This document provides an overview and training on using Universal Analytics and Google Tag Manager (GTM). It discusses setting up tracking in UA using GTM, including tags, rules, macros and sample tag implementations. It emphasizes that building a strategic "smart data layer" based on business objectives and questions leads to better decisions. Specifically, it recommends dividing unique purchases by unique pageviews to measure conversion rates, and capturing profit metrics using server-side tagging to provide more actionable analytics.
This ppt includes an overview of
-OPS Data Mining method,
-mining incomplete servey data,
-automated decision systems,
-real-time data warehousing,
-KPIs,
-Six Sigma Strategy and its possible intergation with Lean approach,
-summary of my OLAP practice with Northwind data set (Access)
A winning sales and marketing strategy for erp businessesRoadmap ERP
The sales and marketing of Enterprise Resource Planning (ERP) software is an entirely Business to Business (B2B) transaction. As the need for an ERP software solution differs from industry to industry and, within industry types, from company to company, the key factor in the marketing of ERP is the preliminary research to identify the exact segment for pitching the sales note.
This document summarizes the skills and experience of a Category Management professional with extensive experience in retail planning, replenishment, and analytics software. They have expertise in analyzing retail data, category management, space planning, allocation processes, and forecasting models. They are highly skilled with Microsoft Excel, including the ability to write macros, extract and analyze data, and create complex formulas and reports.
Rick Watkins Power Point Presentation on Automation efficienciesrickwatkins
This document provides a summary of the author's professional experience and skills in category management, retail planning, and data analysis. It highlights extensive experience using various retail planning and analytical software, as well as expertise in allocating inventory, creating assortment plans, and producing analytical reports using Excel macros and other tools. The author has skills in automating processes, extracting and cleaning data, and implementing improvements to workflows.
A competent professional with more than 4 years of cross-cultural experience in Business Intelligence, Core Data Analysis and Process Management, MIS Reporting collecting, organizing, interpreting, and disseminating various types of statistical figures
Specialize in Dashboard designing, Data Cleaning, Data Analysis, graphical report presentation Process optimization, automation and managing large volume of data effectively
Creative in finding solutions to problems and determining modifications for optimal use of organizational data. Expert at providing realistic projections and establishing various scenarios to determine viable process strategies to utilize. Organized
Rapidly adapt to new technology and process expertise with Business Intelligence Tools Viz. Tableau, SQL Server, Data Warehouse, Tableau, Alteryx, TIBCO Spotfire, and broad range of statistical software.
Possess excellent knowledge in Excel, macros, VBA, Power-Point, Tableau, SQL and SSIS Packages, Power BI, Dashboard reporting.
Successfully transitioned and stabilized multiple Agile and Yellow belt projects.
1.1 DetailsCase Study Scenario - Global Trading PLCGlobal Tra.docxjackiewalcutt
1.1 DetailsCase Study: Scenario - Global Trading PLC
Global Trading PLC is a mail order company that operates a number of different catalogues. Each catalogue addresses a specific market segment and the company is noticing a drop of in the sales through its higher end products and socio - economic customer group, typified by its 'life style' catalogue offerings.
Research has shown that this is because these groupings are now typically buying from companies offering similar services and products on the World Wide Web.
Whilst Global recognise the need to maintain its more traditional agent based catalogue business, they have now decided that they need to embrace e-commerce and develop a Web based service. The Finance Director has a PC at home and has recently bought Dreamweaver.
The existing database system, which has built up piecemeal over a number of years, has been poorly designed and is inadequate. This new development gives the company the opportunity to redesign their system.
It must be recognised that the 'traditional' business will continue for some years and that data stored for that may differ from that needed by the web based business. For example, the agent based catalogue customers must buy through the agent. Indeed, they are identified by a combination of their customer number and the agent ID. This style of catalogue maintains the traditional periodic payment system, so customer records need to include credit rating and transaction history data. By contrast, the 'life style' catalogue customers mostly pay by using credit cards, a system which is used by the vast majority of e-commerce transactions.
Information is maintained for customers so that marketing mailing can be targeted. It has been recognised that an individual could be both a credit card customer AND an agent supported customer. This currently leads to duplication of data storage and mailing, some of which can be contradictory and confusing.
The company headquarters is in Leeds with depots in strategic regional locations from where the company’s own fleet of delivery vans operates. Large regions can have more than one depot. There is a central depot near Birmingham that supplies the regional depots.
The structure of the Agents Organisation is as follows:
General Sales Manager
Midland
Northern
Southern
Scottish
Division
Division
Division
Division
Each division is split into a number of regions.
Each region has a number of agents, working on commission based on sales to their customers, who promote goods and take customer orders. A monthly report of the orders taken by product, with summaries at all levels of the Sales Organisation is produced for management. Sales statistics are required for each product category to monitor the effectiveness of different discount strategies.
Orders are received form their customers by agents, summarised and posted to head office over night. The orders are then validated, priced and checked centrally fo ...
Touchstone IT Services- SAP Practice Brochureswanheron1974
TOUCHSTONE SAP Services
-- Business Process Consulting
-- Implementation and Roll-out
-- Support and Maintenance
-- Off-shore Services
-- Help Desk Services
The Millennium Network is a leading ERP technology company in Brazil and Latin America with over 20 years of experience. It provides innovative software solutions to industry and retail with over 30,000 users across its various ERP modules. The company has over 180 employees across 8 branches and 60 channels to provide remote support and services to its large customer base.
1. The document discusses Business Intelligence and analytics using Oracle BI Foundation Suite. It provides an overview of the different components, capabilities, and features of Oracle BI including the BI Server, presentation layer, data warehousing, ETL processes, and end users.
2. It describes the different modules of Oracle BI including dashboards, KPIs, reports, predictive analysis, and graphical OLAP. It also discusses the hardware and software components needed for a complete Oracle BI solution.
3. Screenshots are provided showing how to create a database connection in Oracle BI, indicating how users can access and work with data through the presentation layer.
Merchandise Planning Software - Get ARC
Merchandise Analytics Brochure
You’ll see that ARC consists of a large range of role-based reports,dashboards and analyses that help you with strategic,
tactical as well as
day-to-day decisions.
- Rohit Kumar is a DW/BI developer with over 5 years of experience developing data warehouse and BI reporting solutions for clients in various domains including banking, finance, insurance, and research.
- He has extensive experience designing and implementing ETL processes using tools like SAP BODS and Talend to extract, transform, and load data from various source systems into data warehouses.
- He also has experience designing BI universes and reports using tools like SAP BO and Microstrategy and providing reporting solutions, training, and support to clients.
The document outlines the features and capabilities of a diamond management software system that allows users to manage all aspects of the diamond business from purchase and planning to manufacturing, quality control, inventory, sales, accounting, and a global access platform. Key modules include purchase and assortment, planning and manufacturing, quality control, inventory management, human resources, sales, accounting, management information systems, and global access. The system aims to streamline and automate business processes, provide data-driven insights, and improve productivity, decision making, and customer reach.
This document outlines a 4-stage journey for organizations to progress from basic reporting to strategic performance management using Cognos Business Intelligence. Stage 1 involves a single department using canned reports and basic queries. Stage 2 expands this to other departments and adds dashboards and analytics. Stage 3 standardizes reporting across the organization. Stage 4 applies continuous performance measurement and management aligned with corporate goals.
Kranthi Kumar Gandavaram is an ABAP Developer with over 4 years of experience working with SAP modules like SD, MM, PP, HR, and FI. He currently works as an Executive for SAP Technical Operations at Mylan Laboratories Limited in Hyderabad, India. Kranthi has extensive experience developing reports, forms, and workflows in ABAP and coordinating support projects. He is proficient in ABAP, SQL, and web technologies and has knowledge of the SAP development lifecycle.
Over 20 years of experience developing business intelligence and decision support solutions using technologies such as Microsoft SQL Server, Oracle, and SAS. Experience includes designing large-scale BI systems, developing data warehousing and OLAP solutions, performing data mining and predictive analytics, creating reports and dashboards, and training others in BI technologies and approaches. Skilled at all aspects of BI project implementation from requirements gathering to deployment.
ales forecasting is the process of predicting future sales for a business or organization. Accurate sales forecasting can help businesses make informed decisions about inventory management, staffing, and overall strategy. Sparkflows provides a range of tools and frameworks for building machine learning models that can be used for sales forecasting.
To build a sales forecasting model using Sparkflows, you would typically follow these steps:
Data preparation: Gather and preprocess your sales data, which typically includes historical sales data, seasonality data, and other relevant data such as pricing and promotions.
Feature selection: Select the most relevant features that are likely to impact sales, such as time of year, marketing campaigns, and changes in pricing.
Model selection: Choose a machine learning algorithm to use for predicting sales, such as linear regression, time series forecasting, or neural networks.
Model training: Use historical sales data to train your model on examples of past sales trends.
Model evaluation: Evaluate the performance of your model using a set of metrics such as mean absolute error (MAE), mean squared error (MSE), and root mean squared error (RMSE).
Deployment: Once you have a model that performs well, you can deploy it to your production environment to make predictions on new sales data.
Sparkflows provides a variety of tools and frameworks that can help with each of these steps, including data preprocessing and transformation tools, feature selection algorithms, and machine learning libraries such as Apache Spark MLlib. Additionally, Sparkflows allows you to automate the entire workflow using pipelines, which can be useful for large-scale, complex projects.
One of the key challenges in sales forecasting is accounting for seasonality, or the regular patterns of sales that occur over time. Sparkflows provides several tools that can help with this, such as time series forecasting models and seasonal decomposition algorithms that can identify and account for seasonal trends in your sales data.
Another important aspect of sales forecasting is feature selection, or identifying which variables are likely to have the most impact on sales. Sparkflows provides a range of feature selection algorithms that can help you identify the most relevant variables, such as correlation-based feature selection and recursive feature elimination.
Overall, Sparkflows provides a comprehensive set of tools and frameworks for building accurate sales forecasting models, and can be a powerful tool for businesses looking to make informed decisions based on their sales data.
For more details visit - https://www.sparkflows.io/
With a group legacy of over two decades, Ma Foi Analytics blends the best of data science, big data technology and a rare and diverse talent pool to help organisations of all stripes achieve the outcomes they seek.
- Megha Chaturvedi has over 5 years of experience as an IT analyst at Tata Consultancy Services. She specializes in database management, data analysis, and business intelligence using SAS programming with Oracle, Teradata, and SQL Server.
- Her primary responsibilities include designing reporting solutions to analyze data from various domains like pharmaceuticals and banking. She develops utilities like disbursement, portfolio, and delinquency reports using SAS macros, functions, and procedures.
- She is proficient in SAS 9.2, Oracle, SQL Server, and has experience working with datasets from clients in banking, pharmaceutical, and other industries to perform data analysis, generate reports, and automate processes.
The document is a curriculum vitae for K.Sridhar Sai Goud that outlines his professional experience working with Salesforce for over 3 years. It details his expertise in customizing and configuring Salesforce to meet various business requirements including workflows, sharing rules, and page layouts. It also lists his technical skills and education qualifications.
RetailSense - Multi-Vendor Point of Sale AnalyticsWinston Ledet
RetailSense provides an easy to use and easily customizable front end to view your weekly sales results and drill to the details at a store/sku level. Run by retail experts, we can help you use analytics to drive your sales.
Organizations are looking to maximize the value and return on their investments in SAP solutions. Value realization is Accenture's approach to helping clients define, manage, and capture business value from transformation projects. It provides ongoing processes to ensure projects are oriented towards business impacts and delivering targeted performance improvements. Accenture has tools like the Business Optimization Seeker for SAP to assess post-implementation opportunities for additional value through areas like inventory, purchasing, sales, and finance optimizations.
1. I am a seasoned Category Management professional with both retail and manufacturing
experience allowing a defined focus on supplier and retail processes of managing categories as
strategic business units focused on consumer value.
2.
3.
4. Extensive experience with the following Retail Planning, Replenishment and Analytical software
– JDA Space Planning Plus, JDA Efficient Item Assortment, Business Objects, Bud Net, Data
Cleansing Tool, IRI’s ILD, Schematic Retrieval Tool, SAS Market Max Assortment
Planning, Arthur Allocation, Arthur Financial Planning and MMS Allocation/Store Planning and
Distribution, IRI Impact and Spectra consumer insights software systems.
Expert with IRI retail data, experience with Syndicated Scanner data, exposure to Syndicated
panel data.
Category Management and Category Space Management experience.
Highly analytical with current experience in a Category Business Analyst role.
Managed Allocation processes, lead user on initial implementation of Arthur Allocation
software.
Strong analytical, computer and software implementation skills.
Ability to take raw data and produce meaningful analysis as well as interpreting and presenting
the data while creating professional grade reports.
Experience in consulting best practices and improving process flows on task requirements.
Strong understanding of replenishment, distribution and qualitative/quantitative forecasting
models.
Excellent communication, organizational and problem-solving skills.
Advanced user in Microsoft Excel, can create complex formulas plus general knowledge of
macros.
Extensive experience in Allocation and replenishment using Arthur, JDA software and Excel.
Experience working in a Retail environment.
5. Currently in the role of Category Business Analyst, my primary functions include retrieving retail account sales history
data through Symphony IRI-ILD(IRI Liquid Data)new technology platform software, export into Microsoft Excel/Access
and DCT(Data Cleansing Tool) where data will be cleaned, any inaccurate information is repaired and all accurate data is
loaded into JDA EIA(Efficient Item Assortment) where assortment strategies are applied based on various sales metrics
and assortment plans created based on various attributes, measures and strategies including the incorporation of
Syndicated Scanner data(market data), subsequently these plans are imported into the Space Planning Plus tool for
category space merchandising and space management to determine the optimal assortment plans by location.
Syndicated data incorporates only one channel-grocery and 7-Eleven is a C store so we utilize the Syndicated data
knowledge based on product selling vs. product package selling.
Create Business Analysis reports for Field Management team using Business Objects with store groups created in SMART
Analysis tool, store groups created by District for a 1400 location chain, then fed into Business Objects to pull Chain
specific data for each district, lastly exported to excel where formulas and formatting are adding to achieve a professional
grade reporting tool to be utilized monthly.
Created a departmental Project Tracking report designed to track contractor hours in relationship to each Account and
monitoring the contribution of total hours allocated per account monthly and yearly accumulated. This report replaced a
monotonous and non compliant weekly process and utilizes Microsoft Office Share Point Software which allows multiple
users access to check out report, enter data, save and check in report for others to source, I built in excel starting with
blank worksheet.
Use Business Objects XI Desktop Intelligence to pull Bud Net data for the NRS 7-Eleven account franchisee stores and
combine along with Wholesaler competitive data and/or 7-11 scan data. This data is cleaned and compiled into individual
store reports including daily movement, trend, average price and distribution. Numerous other standard reports as well as
ad hoc reports are generated to fulfill the analytical request of the 7-Eleven Buying team and Category Management
team.
Created and implemented an entirely new streamline process for Data Management of a National Retail account in order
to improve the process flows efficiency and effectiveness allowing less hours to be spent completing the task
requirements for this account
6. Create and distribute customized assortments for chain, cluster, and store levels demonstrating
the ability to balance perspective, logic, understanding and experience with high-level analysis
utilizing SAS Market Max software.
Create key item plans utilizing various metrics for specific products to initiate product orders
when needed for 230 brick and mortar locations plus e-commerce and Catalog.
Forecast competitive analysis and qualitative methods of customer product and market analytics
in order to create assortment models conducive to demand.
Create top-down and bottom-up assortment plans and present to buyers and seniors for
approval.
Trouble shoot processes and procedures in new system, test for
bugs, modifications, improvements, and eventually script best practices of system to achieve
location assortment planning corporate expectations.
On any giving day juggling multiple projects with tight timelines and achieving to corporate
satisfaction.
Analyze store specific style/color/size selling and create profile for each location and
class/category.
Create product assortment plans for Catalog periodically based on circulation launch usually bi-
monthly, and plans would include Beginning Inventory, Sales estimates, average weekly sell-off
and receipt plan.
Ability to produce analysis on any topic in any format at any level of complexity consistently and
effectively.
7. • Responsible for managing the flow of merchandise (300-600 SKU’s per Retail location) to meet 300+
stores and e-commerce inventory needs. Maximize sales and minimize markdowns by developing the
team, methodologies, procedures and systems necessary to ensure the right merchandise in the right
store at the right time in the right quantity while contributing to the overall performance of the division’s
cross-functional team.
• Ensure improvement in cycle time, in-stock positions and inventory utilization through both pre-buy
analysis and warehouse reserve allocations.
• Identify areas of opportunity for system and process improvement.
• Hindsight the allocation of critical events to gather learning and process improvements.
• Communicate with the distribution center to prioritize and facilitate the merchandise flow process.
• Develop inventory strategies in order to maximize sales and minimize markdowns at global and store
level.
• Work with other business areas to ensure proper support and coordination of Merchandise issues.
• Responsible for supervising and supporting staff of 4-allocation analyst in everyday business of the
Department.
• Produce reports for business analysis using downloads from the mainframe such as purchase orders by
week receipts, store capacity, unit SKU reports and many ad hoc reports.
• Managed all the improvement and implementation of new allocation system.
• Coordinating a size analysis process to be implemented company wide.
• Management style of working along side staff with 100% hands on knowledge of business processes
and analytics with the ability to perform every task.
8. FilterAdd Macro
Dim ws As Worksheet
For Each ws In ActiveWorkbook.Worksheets
ws.Activate
Selection.AutoFilter
Next
End Sub
Most Excel users will repeat functions over and over and over again and again, writing
and recording specific VBA in Excel . Even simple macros can save hours and hours of
time building spreadsheets. The above macro will add filters to each column in a
spreadsheet on every sheet automatically. If one were to do this manually for a 100
sheet file, it would take about half and hour, but with the macro it would take seconds.
9. Many Analyst will break up a multi market spreadsheet when distribution or other market
specific analysis is required. With expert knowledge of excel complex formulas one can
do everything needed in one spreadsheet.