arc merchandise analytics brochure

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But knowing that doesn’t make the decisions any easier. What you keep off your shelves, is as important as what you keep on them. ARC Merchandise Analytics can help.

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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.

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Page 1: ARC Merchandise Analytics Brochure

But knowing that doesn’t makethe decisions any easier.

What you keep off your shelves,is as important as what you keep on them.

any easie

ARC

Merchandise

Analytics

can help.

Page 2: ARC Merchandise Analytics Brochure

First, a few words about us.

We, are Manthan Systems. And we specialize in delivering cutting-edge, synergistic solutions that enable decision making for businesses like yours, across the retail and consumer products industries.

Products and services designed to help you achieve a significant business advantage, while equipping you with that vital technical edge.

You´ll find that we bring to the table an ideal blend of deep domain expertise across the retail analytics spectrum, and flawless, core technical expertise across platforms. And this, is how we deliver solutions that create real business value, for you.

You’ll find ARC Merchandise Analytics a

comprehensive performance management solution for

retail merchandising. This award-winning solution helps

you analyze performance all the way from your supply

chain, to store level. And, it’s designed to help you

discover and leverage hidden relationships between

products, customers, promotions and multi-channels.

With ARC, you’ll enjoy optimized decision making,

across areas like optimizing merchandise and

assortment performance, maximizing sell-through,

controlling shrinkage, tracking new product

performance, optimizing markdown and promotions,

improving price realization, rationalizing products,

and allocation optimization.

What isARCMerchandise Analytics?

Page 3: ARC Merchandise Analytics Brochure

“The retail-specific capabilities of ARC have given our business managers a powerful platform for retail analysis that aid their category management,

operations performance and inventory management decision making processes. There are huge opportunities in data and hidden relationships

between product, customer and store data sets, waiting to be discovered with the right business intelligence solution.”

- Harrison Lewis, CIO, Haggen

So how exactly does ARC enable decision making?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.

This is what helps you transform your decision making practices from gut instinct, to fact-based, business transforming intelligence.

With ARC, your data is no longer unwieldy and unusable. Instead, you have at your disposal an intelligently designed tool for real-world business decisions and analytic functions. A tool that provides you action oriented information, not mere data. A tool that engages you across the entire decision lifecycle - from information access, to interpretation, insights and business action.

Who uses ARC Merchandise Analytics? ARC provides analytics across all key roles

in merchandising, including:• Divisional Merchandise Managers• Heads of Merchandising• Category / Department Managers• Merchandise Analysts and Planners• Buyers and Allocators

Page 4: ARC Merchandise Analytics Brochure

What can ARC do?You’ll find that ARC is designed to provide you business transforming answers to merchandising questions, through pre-built analyses like:

Sales Analysis• Track store performance based on key metrics like

target achievements, margin percentage, growth over last year, growth in average selling price and quantity per ticket against store clusters, regions and corporate

• Evaluate the impact of store size and employee strength on sales and resultant margins at various levels of merchandise categories

• Identify sales, margin growth and contribution by sales channels (regular store, discount store, web, catalog)

Merchandise Analysis• Track merchandise plan, OTB plan against actuals,

and drive assortment and allocation decisions• Optimize merchandise mix based on a composite

index of margin and sales value • Track sell-through and stock-to-sale ratios by brand /

category/items, to formulate specific sales strategies• Identify potential cross-sell and up-sell opportunities

by means of Market Basket Analysis (MBA)

Inventory Analysis• Streamline retail distribution to minimize inventory

carrying costs, stock-outs and markdowns• Identify stock movement and liquidation

opportunities by tracking stock ageing and non-moving stocks

• Identify negative margin items and stock holding trends

Promotion and Markdown Analysis• Track promotion effectiveness with lift percentage,

target achievement and ROI• Track stock availability and buying needs based on

rate of sale during promotion period• Track plan against actual markdowns, analyze

overall markdown impact on margin, and optimize markdowns by analyzing sell-through trends

Supplier Analysis• Compare suppliers of similar products on

performance metrics like sales contribution, margin percentage, stock contribution and rebates

• Provide access to vendors to track stock-on-hand positions by location to reduce stock-outs and improve delivery time

• Rank vendors based on scorecards that track supplier service metrics such as fill-rate, on-time and quality of delivery, and performance metrics like sales, margin, stock and rebates

Additional pre-configured analysis areas

• Merchandise assortment

• Allocation optimization

• New product performance

• Improving sell-through

• Non-moving stock

• Discontinuing products

• Lowering markdowns

• Assortment mix

• Variable demand response

• Growth contributors

• Assortment productivity

• Stock distribution

• Style variety

• Demographic sales

• Shifting demand patterns

• Ongoing order revisions

• Geographic demand variability

• Market performance

• Store demand visibility

• Pack size variability

• Promotion visibility

• Purchasing monitoring and control

• Store pricing and promotion

Retailers across segments deploy ARCto maximize profits and leverage opportunities.

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Page 5: ARC Merchandise Analytics Brochure

How does ARC create value, for my business?You’ll find that ARC Merchandise Analytics defines the next generation in decision making technology for merchandisers. With a pre-built approach, combined with best practice analytic capabilities, ARC truly delivers on the promise of business intelligence. Some of the unique benefits ARC provides are:

Role-based AnalyticsYou’ll see that ARC’s role-based analytic applications meet the complete spectrum of your decision making needs for merchandising. And that it’s designed to provide specific analytic configurations for the strategic, tactical and operational needs of all levels of decision makers, including department heads, assortment planners, allocators, buyers, merchandizing heads etc.

Faster time-to-benefitsARC’s pre-built philosophy allows BI owners to deliver the application in the hands of business users, in the shortest possible time - a critical determinant of BI success. Compared with a similar deployment of a traditional BI platform, ARC can be implemented in a fraction of the time (12-16 weeks).

ARC’s ease of implementation results in time and cost benefits, for your business.Left: A comparison of traditional BI vs. ARC implementation

ARC provides analytics that are in line with the decision making needs of specific roles. In this case, a category manager.

“Not only does this retail decision-making solution give us

immediate advantages with insights to improve our performance, but ARC Retail Business Intelligence

also provides us a lasting competitive advantage by making it

easy for everyone to use retail analytics in their roles and

responsibilities. Our decision makers love ARC’s pre-packaged, role-based analytic applications.”

- Wendy Reeve, BI Director, Foodland

Requirement Gathering

DW or Marts Development

Systems Testing

User Testing

Data Modeling

Reports Development

Deployment Planning

ETL Development

Go-live

Performance Tuning

Changes,new requirements,enhancements

TIME AND EFFORT

Requirements Gap & Source System Analysis

ETL Development1 month

4 months

8 months

12 months

16 months

20 months

Front end customizations

Go-Live

New reports, customizations, functional extension, new data sources

Save costs in delivering changing needsand maintaining the system

Faster ROI, Lower TCO

Huge $$ savings in deployment costs

Deliver BI and Analytics faster

Traditional BI ARC Retail BI

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Completely aligned with your people and processes…with role-based decision-making capabilities

An example of the ‘category manager’ roleCategory

Performance Scorecards

Category Initiative Tracking (Promotion

Dashboards)

Weekly Category Review Report

Packs

Key Vendor Performance Reports

Category Sell-though Alerts

Competitive/Market Performance Benchmarking

Merchandising

Marketing

Buying &Sourcing

Planning

Customer Management

Human Resources

ARC meets the unique decision making needs of

every role

Roles

• How is the category plan performing at region, market and cluster levels?

• Which category tactics are leading to increased revenue and profitability?

• What is the impact of my ongoing promotions, price changes, allocation/ re-allocations?

• Which of the category initiatives is not delivering?

• How are the more effective suppliers driving category growth?

• Do the category role/ objectiveassumptions continue to be valid?

• Which categories are unprofitable?

Store Operations

Key questions a categorymanager needs answers to

Category Manager

Page 6: ARC Merchandise Analytics Brochure

Self-Service BI ArchitectureSince ARC is designed to maximize usability for business users, this results in minimal dependency on administrators and tech-savvy power users. With superior data visualizations, smart utilities, and a highly intuitive user interface design, you’ll find ARC extremely user-friendly. In other words, ARC makes analysts of your business users.

Accelerates Analytic Maturity With a combination of unique characteristics like a highly attractive licensing model (that doesn’t penalize incremental use of the product), high usability and high scalability, ARC enables faster adoption of analytic best practices across your organisation. This in turn, progressively improves your organization’s analytic maturity, a key strategic differentiator in smarter businesses.

Moving decision-making from wishful thinking to wisdom.

Manthan Systems was featured in this AMR Research report on the leading vendors in retail business intelligence. The report defines Manthan

Systems as a “Retail BI specialist aiming to take the guesswork and big decisions out of the equation by predicting much of what retailers need,

based on their understanding of the retail business.”

(Source: Janet Suleski, AMR Research)

Low Total Cost of Ownership ARC’s pre-built approach and a faster deployment save retailers significant time and money. You can save significant operating and maintenance costs with ARC’s low administration and affordable scalability.

A proven “Game Changer” in retail businessesOver 40 retail organizations around the world deploy ARC Merchandise Analytics to transform the way they operate, compete, and innovate. Analysts like Gartner and AMR Research recognize ARC as a leading player in the retail business intelligence space. So it’s no surprise, that ARC has won several industry awards with ground-breaking innovations that are bringing about transformational changes in retail merchandising today.

New retail dashboards are action-focused.

Manthan Systems was featured in this

Gartner research focusing on the latest dashboard technologies. Gartner

Research VP, Mr. Hung LeHong says, “Dashboards are now more

‘action-focused’. Role-based design and access to operational data have

evolved the dashboard into something employees can use in day-to-day

operations. Part of making the dashboard more operational is making

it tailored to specific operational roles in the business. Now, getting the right

data to the right person makes these next-generation dashboards more

relevant.”

(Source: Hung LeHong,Research VP, Gartner)

What isAnalytic Maturity?

Retail business intelligence / performance management maturity model

Step 1:Reacting

Step 2:Anticipating

Step 3:Collaborating

Step 4:Orchestrating

Point Performance

• Departmental

• Project driven

• Tool-based (including spreadsheets)

• Quick implementation

• Limited scope

Ex: Flash sales reports

Process Performance

• Single/siloed process

• Cross departmental

• Consistent/automated

• Process efficiency

• Process analysis and optimization

Ex: Workforce performance budgeting and KPI tracking

Enterprise Performance

• Cross functional

• Cascading strategy

• Role-based

• Common processes and definitions

• Process modelling

• Collaboration and workflow

• Deep but insular view of the enterprise

Ex: Merchandise �nancial plans �owed to planners; assortments that meet plans �owed to buyers; buying plans executed, and shared with logistics team

Pervasive Performance

• Business value driven

• Performance culture

• Contextual push alerts

• External measures and collaboration

• Holistic modeling

• Aligned incentives

• Shared risk/reward

• Comprehensive view of theenterprise

Ex: New product design and introduction is planned and executed with suppliers and across all relevant functional processes

Technical Multiyear Effort Culture/Philosopy

Inside Out Focus Outside In

Source: AMR Research

Page 7: ARC Merchandise Analytics Brochure

Technology Benefits• Delivers high performance on large data volumes• Single, unified architecture and user interface• Platform agnostic, yet proven to work successfully

on all major platforms• Retail-centric algorithms and models• Multi-currency, multi-language and multiple retail

format support• Designed to handle multiple and parallel hierarchies,

and concurrent time calendars

Cost of Ownership Benefits• The effort and cost involved with configuration and

maintenance of ARC is 1/10th that of a generic BI solution

• Rapid 12-16 week deployment lifecycle• The pre-built proposition of ARC radically alters

traditional DW deployment lifecycle• Retailers no longer need to appoint multiple external

vendors to manage the deployment lifecycle• Brings down the hardware and infrastructure

requirements for solution deployment

Business Benefits• Entire organization onboard with BI quickly• Alignment with retail business processes and

practices• Makes analysts out of business users• Improves margins, inventory efficiency, promotion

effectiveness, and fewer markdowns• Unique pricing mechanism encourages higher

BI adoption• Orchestrates performance management culture

“While ARC is a comprehensive solution for all aspects of decision making, like operational BI and performance management, it’s ARC’s usability and role-based guided analytics that has made it a favorite among our decision makers. In all respects, ARC behaves like it’s built for our organization, and its thoughtful design and application are its biggest strengths.”

- Thelma G. Roxas, VP & CIO, Robinsons

“The retail-specific capabilities of ARC and its best practice approach gave us the ability to move much faster than we would have been able to do with more generic solutions. In our very dynamic business we need to be able to keep our finger on the pulse at all times and ARC will enable us to do just that.”

- Peter Crowne, Finance Director, GAME Group plc

The Manthan Advantage• Manthan’s core competency is in the understanding

of retail and all associated technology and statistical sciences

• Manthan facilitates customer success by adopting an end-to-end, full-lifecycle approach

• Each of Manthan’s products and services caters to the entire spectrum of a retailer’s need for BI and PM

Why

cho

ose

AR

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Page 8: ARC Merchandise Analytics Brochure

What is ARC’s technology architecture?Built for retail, ARC’s technologically superior engine understands and

anticipates retail data structures, ensures rapid deployment (less than 4

months) and a high return on investment.

The ARC platform offers many ‘industry-first’ technologies, like a Hybrid

OLAP (HOLAP) model with in-memory cubing, aggregate-aware query

mechanisms, n-hierarchy architecture, auto query generation, auto KPI

rendering, and advanced visualization techniques and tools.

The ARC BI platform enables a variety of analytic capabilities like:

• Information delivery of role-based analytics through intuitive dashboards,

reports, and scorecards

• Business activity monitoring through alerts, subscriptions, Q&A engine

• Wide range of built-in analysis capabilities like multi-dimensional OLAP,

scorecarding, benchmarking, trending, comparative analysis and various

other analysis methods

• Pervasive access of the system through web-based and mobile-based

user interfaces

• Comprehensive, industrial strength security and administration capabilities

• Collaborative decision making capabilities

In short, the platform offers everything you need for retail business intelligence.

ARC is constructed as a scalable, layered architecture with a tiered business

and analytics engine that enables easy customization. Componentized

architecture permits plug-and-play deployment with prevalent ETL, data

warehouse, OLAP or reporting tools. With pre-built integrators for leading

ERP platforms like JDA and SAP, ARC leverages and extends the

capabilities your existing technology investments.

ARC technology architecture

www.manthansystems.com

ARC technology highlights.

• Out-of-box single platform for analytical and reporting solutions

• Extensive pre-built retail metrics and reports

• High performance, minimal maintenance• High degree of flexibility; ease of

customization• Deployment in weeks, not months Optimized retail enterprise data

warehouse model• Highly scalable standards-driven BI

platform• Intuitive web-based front end for users

and administrators• Unified dimension modeling architecture

spanning ROLAP and MOLAP capabilities

• Integrates seamlessly with diverse retail transaction systems – from home-grown applications to ERPs to spreadsheets

• Platform and database agnostic construct