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Demos are re-usable dashboards with configured chart controls, expressions and sample data. Use them to get a fast start up on building your own dashboard.


YoY Points Earned
Which credit card products are attracting the most loyalty points? How does card usage behavior affect points collection? What kind of customers are using their cards to collect points? Both customer needs and usage patterns are segmented to understand where our loyalty program gets the most traction – in this case report, we can see that Transactor type card users (user who regularly pay off their monthly balance in full) and Confident Reward Optimizers (users who actively collect/redeem points) are our top earners.

YoY Points Spend
Which type of customer are redeeming their loyalty points? How does card usage behavior affect points redemption? Both customer needs and points spend patterns are segmented to understand what kind of merchants are benefiting the most from being part of our loyalty program – in this report for example, we can see that Transactor type card users (user who regularly pay off their monthly balance in full) are spending points mostly on Premium brand products and targeting this segment with high end brand offers will get the best results from our marketing campaigns.

Asset Management
How are our valuable clients being managed? What level of assets are under management by value? At what branches and by which client manager are our best clients being retained? Which of our clients are increasing their business with us and which ones are reducing their investments? The Value vs Transaction KPI measure is a good indicator of which client types and which individual clients are generating value for our business, thereby allowing us to quickly view where we are gaining and loosing business and to apply corrective measures.

Russian Equities
Make a deep analysis of Russian stock prices and companies to look for buy/sell opportunities. Use all of the chart controls to compare stock prices against company results and forecasts for growth. Look at fundamental performance indicators in order to evaluate which companies represent good short or long term opportunities

Sales Team Performance
What sales/client account personnel and branches are over or under performing with our wealthy clients? Examining 2 client KPI’s (Total Portfolio Value and Cash Value), we can how our Branches and Sales people are performing. Additionally, by segmenting our clients into types (e.g. High Risk Trader, Wealth Builder) based on the type of investments under management, the HQ manager can benchmark performance by client type and know where changes are required.

Trade Activity by Wealth
Client Activity by Account Value and Segment Which client segments are under/over performing? Which clients have high cash levels and low trade activity? which sales people are growing their client portfolios? How are we doing this period compared to the previous one?

Account Turnover
How do clients transact with us and how does the way they transact influence the amount of funds they maintain with us? How do we maintain cost efficiency but still provide a competitive service offering? As banks offer more and more ways to transact (online, ATM, email, mobile, branch visit), maintaining customer loyalty and expanding our service offering becomes more challenging. This report looks at the various transactional channels and the impact on client money inflows and outflows.

Asset Management
How are our valuable clients being managed? What level of assets are under management by value? At what branches and by which client manager are our best clients being retained? Which of our clients are increasing their business with us and which ones are reducing their investments? The Value vs Transaction KPI measure is a good indicator of which client types and which individual clients are generating value for our business, thereby allowing us to quickly view where we are gaining and loosing business and to apply corrective measures.

Branch Performance by KPI's
Which branches and accounts over or under performing with clients? Examining client account KPI’s such as the ratio of Total Deposits to Withdrawals, we can see how our Branches are performing. Additionally, by segmenting clients based on their transactional behavior such as account turnover, average deposit amount and net revenue contribution and seeing how branches compare across those client segments, the HQ manager can benchmark performance and know where changes are required.

Branch Perfomance by Segment
Which branches and accounts over or under performing with clients? Examining client account KPI’s such as the ratio of Total Deposits to Withdrawals, we can see how our Branches are performing. Additionally, by segmenting clients based on their transactional behavior such as account turnover, average deposit amount and net revenue contribution and seeing how branches compare across those client segments, the HQ manager can benchmark performance and know where changes are required.

Card Points Spend
This analysis demonstrates how a credit card processing company needs to track customer spend activities across districts and postal codes in Switzerland. By grouping customers into spend ranges Revenue Groups) and by postal codes (Aggregated Postal Codes), we can easily see which the spend distribution pattern across cities (Sales Groups) in terms of the frequency and amount of purchases. Further, we can identify consumers as potential targets for a marketing campaign or for a points based loyalty program that can be offered through merchants.

High Value Accounts
Which branches and accounts have high closing balances and large deposit amounts? When we see a large amount on deposit, is our Marketing department taking action to target high value clients with financial services that can generate better returns for the customer and the bank? What products and services should we be offering high value customers? Examining client account KPI’s such as the total amount on deposit and closing balances, we can see how our Branches are performing in up-selling our financial products.

Sales Quotas
Where are sales personnel over/under performing for our wealthy clients? By branch, by customer type and by what products? Sales are measured by sales personnel in the tile chart with images, where the green background image shows the person is above his sales Quota whereas red shows under Quota. Additionally, by segmenting our clients into types (e.g. High Risk Trader, Wealth Builder) based on the type of investments under management, the HQ manager can benchmark performance by client type and know where changes are required.

Balance Sheet Accounts
How does my opening Balance Sheet amounts compare to Year to Date results? What does the net change look like at account level look like? CFO’s and CEO’s can easily interact with financial data via a pivot table to by drill down into the accounts hierarchy in order to analyze and compare results.

General Ledger
How can I drill down into my G/L transactions to easily view the summary level and make Year on Year comparisons and analysis by period? This report gives an easy way for the CFO to interact with G/L accounts and analyze results on a pivot table and scatter hart.

Variance
Examine Variances across a number of financial indicators, including Cash Flow variance on Budget vs. Actual and by individual cash flow related Accounts. Additionally, Profit and Loss Budget vs. Actual results and by individual P&L Accounts to identify where variances are greatest and take corrective measures.

Performance Indicators
Examine key indicators on business performance for Cost of Goods, Gross and Net Profit and comparatively analyze results Year on Year and by time periods.

GL Previous vs Current Years

Cash Flow Budget vs. Actual
How does cash flow Actual results compare vs. our Budget? Which accounts have the greatest variance between Actual and Budget? This report gives an easy way for the CFO to interact with accounts related to cash flow and compare results on charts and on a pivot table in order to identify those accounts with the greatest variance.

Assets Overview
How do our fixed and current Asset accounts fluctuate over time? How do results compare year on year? This report gives an easy way for the CFO to interact with Asset related accounts and analyze results on a time line chart.

Balance Sheet Trends
How do major Balance Sheet account trends compare for Current vs. Last Year and Actual results vs. Budget ? What does the net change look as of today for Cash Flow, Inventory, Assets, Accounts Payable and Receivable and Cost of Goods? CFO’s and CEO’s can easily interact with financial data via interactive charts in order to analyze and compare results.

Cash Flow Source-Use
How does cash flow look like by GL account? Which accounts have the greatest inflows and outflows? This report gives an easy way for the CFO to interact with accounts related to cash flow and identify those accounts with that have greatest net impact.

Profit and Loss
Examine the Variance factor on Actual vs Budget for Profit and Loss accounts. Track and examine results across cost and revenue accounts. Identify variance scenarios on individual accounts by easily searching for those accounts with the greatest Variance factors.

Financial State
For the CFO and Senior Executives, a fast look at company performance across KPI’s, Balance Sheet and P&L account trends that are automatically updated from consolidated data across multiple sources is available on a Financial Management dashboard. With additional project management capabilities for tracking costs and timelines on projects that involve the finance department, CFO’s get to examine Variances across a number of activities and financial indicators.

Forecast
Examine the Variance factor on Budget vs Forecast across a number of financial accounts that allow you to track your future performance. Identify variance scenarios on individual accounts by easily searching for those accounts with the greatest Variance factor over time.

GL Previous vs Current Years

Employee Performance by Location
https://app.sharemyinsight.com/Cyscom/Cyscom.Kriya.WebPartLibrary/Dashboard/HtmlDashboard.aspx#Employee Performance by Location

Employee Performance by Attributes
The Re-orderable Matrix is based on solving the limitations of trying to analyze multi dimensional data. By allowing the user to analyze data relationships over any number of dimensions (in this sample data provided its employee attributes that impact on performance ratings), a user gets immediate insight into what combination of factors (attributes) contribute to an outcome such as employee performance. In this analysis, the larger matrix shapes show the higher employee score over a large number of dimensions, allowing HR managers to see which combination of factors affect performance.

Ratings by Department
What is employee performance by criteria such as Job Title, Sex, Department and Region? Does the current salary range influence performance scores? Which are my best to worst performing employees? Examine this report and interact with the data to discover which are the factors that influence employee performance.

Supplier Performance Analysis
After contracts are signed, how do we measure compliance on delivery commitments? How are suppliers performing on their contracts in terms of time of delivery? How many orders are late and what is the amount of orders that are pending by supplier? This analysis demonstrates how suppliers are performing by comparing supplier efficiency in terms of delivery efficiency % and the total amount of undelivered orders on each contract.

Contract Spend Rewards
When supplier contracts have incentives based on achieving purchase targets, how do we track and analyze contract spend and the rewards that are due to us? How do we know the spend and rewards due by periods of time over the duration of the contract? This report analyzes each supplier contract for spend and rewards across product categories and down to the product level

Spanish wines
How are wine sales with complex characteristics sold and measured by Region and Vineyards in Spain? This dashboard looks at Spanish wine Sales on a live interactive map with DeepZoom images of wine with analysis capabilities on how sales and gross profit relate to wine Ratings and Types of wine.

Wine by Customer Preference
How are wine sales with complex characteristics sold and measured by Customer Preference? This dashboard looks at Spanish wine Sales on a live interactive map with DeepZoom images of wine with analysis capabilities on how sales relate to wine Ratings and Customer Segmentation.

On-Off Card Purchases
Compare On and Off loyalty card purchases at a retail store and buying trends within categories.

Baskets by Indices
Which customer segments are buying which categories as a % of the total basket? What is the % of baskets purchased by customer segments, where segmentation is based on the Recency-Frequency-Value (RFV) of purchases? By grouping customers by their buying patterns for Highest Value, Most Recent Purchases and Greatest Frequency, we are able to group customers into ‘Premium’, ‘Standard’, ‘Low’, ‘Uncommitted’ and ‘Lapsed’ customers. This allows u to see which categories are getting the most penetration in baskets at the customer segment level and better target our offers as well as optimize our assortment.

Pricing Elasticity
How do categories and products sell by price range? How do seasonal factors affect demand and sales? How much margin do I need to sacrifice to improve sales by X %? When can I increase my margin without sacrificing sales? Examine this report interactively with all of the visual elements to see how these principles apply.

Product Sales by Region, City, Store
What categories, brands and products give us the most revenues by region, city and street level area? What demographic factors influence our sales, for example how does average wage in a region impact sales of some our brands? Use any of the visual charts and filter controls such as an interactive Geo coded Map to analyze sales data by dimensions such as demographics for population size, average income, minimum wage, average age and more. This report utilizes the full interactivity of the visual controls to discover which categories and products are flying or dying by demographic data.

RFV Sales
How do category and product sales compare across customer groups? How should we be targeting groups with offers that are of interest? By segmenting customers by buying patterns, we can segment them by the Recency-Frequency-Value (RFV) of their purchases. For example, Premium customers represent the highest avg. monthly basket amounts, greatest number of purchases and most recent purchases; other groups are segmented for lower RFV results such as Standard, Low, Uncommitted, Lapsed. In this report, we can see that the Produce category is the number 1 category for Standard buyers and if we want to move people from that group up into the Premium group, we need to make our quality and pricing on our Produce to be more attractive.

Spend by Visit
Which departments, categories and sub-categories are best performers for the number of units purchased per visit? Where are individual households spending and which categories are most valuable? This analysis examines which are the best and worst performing categories measured by the spend amount purchased per visit and by households.

Store Promotional Impact

Units by Visit
Which departments, categories and sub-categories are best performers for the number of units purchased per visit? How does it compare to the number of units per household? This analysis examines which are the most valuable categories, in terms of demand measured by the number of units purchased per visit and by households

Household Penetration
Which households are buying which categories in terms of total sales? How do categories compare when measured by household segments, where segmentation is based on the Recency-Frequency-Value (RFV) of purchases? By grouping households by their buying patterns for Highest Value, Most Recent Purchases and Greatest Frequency, we are able to group households into ‘Premium’, ‘Standard’, ‘Low’, ‘Uncommitted’ and ‘Lapsed’ households. This allows u to see which categories are getting the most penetration at the household segment level and better target our offers as well as optimize our assortment.

Spend by Units
Which are most valuable categories and products, in terms of demand and spend amount? How are customers spending at the category and product level? How many units are being purchased on an average visit? What is the average spend amount per visit, category and at the unit level? This analysis examines which are the most valuable categories and products, in terms of demand and spend amount on a per visit basis

Retail Category Sales
What categories, brands and products give us the most revenues and profitability over time? Use any of the visual charts and filter controls to analyze sales data by any dimension. This report utilizes the full interactivity of the visual controls to discover which categories and products are flying or dying.

Household Indices
Which households are buying which categories in terms of a Spend Index rating? How do categories compare when measured by household segments, where segmentation is based on the Recency-Frequency-Value (RFV) of purchases? By grouping households on a Spend Index for Highest Value, Most Recent Purchases and Greatest Frequency, we are able to group households into ‘Premium’, ‘Standard’, ‘Low’, ‘Uncommitted’ and ‘Lapsed’ households. The Spend Index allows us to see which categories are getting the most penetration at the household segment level and better target our offers as well as optimize our assortment.

Repeat Rate by Visit
Which departments, categories and sub-categories are best performers by the repeat rate per visit? Which categories have the highest spend per visit and per household and how does that relate to repeat rate %? Although some categories may have a high average spend, how often those category purchases are repeated is the more useful KPI on best or worst performers. This analysis examines which are the most valuable categories, in terms of demand measured by the repeat rate per visit and by households.

Flying-Dying Items
Which categories, brands and products are flying and dying? Where should we be lowering our margin to increase sales or can increase our margin without loosing sales? Which are our most valuable brands and products? How do sales periods and seasons affect sales and overall gross profit? This dashboard looks at optimizing product assortment and balancing sales volume with gross margin.

Promo Sales Forecast
How many more units need to be sold to make up for lost sales when products are discounted (the Volume ‘Breakeven Point’)? How much more do we need to sell On Promo to arrive at the equal sales amount for Off Promo Sales( the ‘Sales Breakeven Point’). What is the optimal time period to launch promotions (when off promo sales are low) and what stores and products perform best on/off promotion periods.

Executive Summary (Category and Sub-Category)
This dashboard aims to give an overview of how a specific supplier (i.e. the supplier purchasing the reports – in this example P&G) has performed in the current month across all their categories and sub-categories, how the current month compares with the previous year (YoY) and what their share of spend/units/transactions etc is across categories.

Executive Summary (Top Brands and Top Products)
This dashboard aims to give an overview of how a specific supplier (i.e. the supplier purchasing the reports – in this example P&G) has performed in the current month across all Brands and Product level. Here the supplier can see which are their top performing brands and products and also which brands and products have shown greatest YoY growth. Toggle between different brand and product views using the selection on the left.

Hair Care Overview
Having gained a general overview of their overall performance from the Summary dashboards, a supplier can then dive into specific category level reports. For this demo we have created reports for the Hair Care category. This dashboard gives an overview of the category and brand performance for Hair Care and YoY growth.

Hair Care Supplier Overview
This dashboard breaks out performance for the given Hair Care category by supplier so that the user can compare performance to that of their competitors and can also understand which sub-categories they are winning/losing in.

Hair Care Customer Overview
This dashboard breaks out performance for the given Hair Care category by customer. It aims to provide the supplier with an easy way to understand who it’s key customers are across categories and brands and where there may be headroom or opportunity to increase customer revenue.

Hair Care Product Overview
This dashboard looks at performance for the given Hair Care category by the most detailed product level. The goal is to provide a supplier the means to see how a promoted product is performing or how a competitor’s promotions are impacting their sales.

Hair Care Trends
This dashboard looks at how category, brand and product sales and volumes have changed over time. Identify any seasonality and understand the impact of outside events on revenue and sales.

Branch Perfomance by Segment
Which branches and accounts over or under performing with clients? Examining client account KPI’s such as the ratio of Total Deposits to Withdrawals, we can see how our Branches are performing. Additionally, by segmenting clients based on their transactional behavior such as account turnover, average deposit amount and net revenue contribution and seeing how branches compare across those client segments, the HQ manager can benchmark performance and know where changes are required.

YoY Points Earned
Which credit card products are attracting the most loyalty points? How does card usage behavior affect points collection? What kind of customers are using their cards to collect points? Both customer needs and usage patterns are segmented to understand where our loyalty program gets the most traction – in this case report, we can see that Transactor type card users (user who regularly pay off their monthly balance in full) and Confident Reward Optimizers (users who actively collect/redeem points) are our top earners.

YoY Points Spend
Which type of customer are redeeming their loyalty points? How does card usage behavior affect points redemption? Both customer needs and points spend patterns are segmented to understand what kind of merchants are benefiting the most from being part of our loyalty program – in this report for example, we can see that Transactor type card users (user who regularly pay off their monthly balance in full) are spending points mostly on Premium brand products and targeting this segment with high end brand offers will get the best results from our marketing campaigns.

High Value Accounts
Which branches and accounts have high closing balances and large deposit amounts? When we see a large amount on deposit, is our Marketing department taking action to target high value clients with financial services that can generate better returns for the customer and the bank? What products and services should we be offering high value customers? Examining client account KPI’s such as the total amount on deposit and closing balances, we can see how our Branches are performing in up-selling our financial products.

Sales Quotas
Where are sales personnel over/under performing for our wealthy clients? By branch, by customer type and by what products? Sales are measured by sales personnel in the tile chart with images, where the green background image shows the person is above his sales Quota whereas red shows under Quota. Additionally, by segmenting our clients into types (e.g. High Risk Trader, Wealth Builder) based on the type of investments under management, the HQ manager can benchmark performance by client type and know where changes are required.

Branch Performance by KPI's
Which branches and accounts over or under performing with clients? Examining client account KPI’s such as the ratio of Total Deposits to Withdrawals, we can see how our Branches are performing. Additionally, by segmenting clients based on their transactional behavior such as account turnover, average deposit amount and net revenue contribution and seeing how branches compare across those client segments, the HQ manager can benchmark performance and know where changes are required.

US Presidential Elections 2008
Examine and breakdown the US presidential election results on a dashboard with an interactive map and charts that show state by state vote count results for each candidate, including how polling organizations analyzed the pre-election forecasts and the actual election results breakdown by vote parameters.

WikiLeaks Afghan War Incidents
Analyze WikiLeak Afghan war diaries and make them come to life by analyzing how-when-where it happened. Drill down into leaked U.S. military records to visualize a blow-by-blow account of six years of the Afghanistan war, including unreported incidents of Afghan civilian killings as well as covert operations against Taliban figures. View the type of incidents that occurred and analyze them on a geo map where each incident is represented. See Classified records on which Units caused the most Civilian WIAs and KIA’s in which Regions and by what means.

Disposable Income Index
How are consumer wages keeping ahead of inflation as measured by the Consumer Price Index in Russian regions? This report analyzes consumer’s Real Disposable Income (disposable income after inflation) across regions and how it impacts on spend. Understanding the relationship between Disposable Income and the CPI lets us view which regions have wages growing ahead of inflation.

Consumer Retail Spend
We have collected Russian government retail sales statistics to get an understanding of Retail Sales Turnover across Regions of Russia. In this report we see how social factor such as Average Income impacts on Retail Sales Turnover across the country. Examine this report to understand the Retail Sales Turnover across the population and which Regions spend the most.

Policies
How do product sales and premiums compare by region? Which sales people generate the most sales by Region? What’s the average revenues we get by region? What is the condition of my sales pipeline? How many policies are cancelled vs new applications? Utilize the full interactivity of the controls to discover how we are performing.

Claims Distribution
The Re-orderable Matrix is used when trying to analyze multi dimensional data. By re-ordering the matrix table, data patterns and insight into policy holder characteristics and how they influence claims and payments become easily understood. This report analyzes the ratio of claims amounts against average by product and by policy holder attributes. For example, claims for Women and in Europe on the Fleet Secure plan are on average more than $10,000 per claim. Therefore policy holders with these attributes are providing a negative return on the Fleet product and premiums need to be increased. Use the heat map and sort the other rows to identify claims on products and which are the best to worst performers.

Sales Agent Performance
How do product sales and premium revenues compare by region and sales agent? Which sales agents generate the most premium revenues? What’s the average revenues we get by region? What is the condition of the sales pipeline by region and sales personnel? Which regions and agents get the most policies cancelled vs generating new applications? Utilize the full interactivity of the controls to discover how we are performing.

Policy Risk Analysis
This report analyzes the ratio of average claims amounts against average premium amounts to manage risks on policies by policy holder attributes. For example, claims for Smokers are on average 188% more than total premiums and for Age Range of 60-70 is 205% over premiums. Therefore policy holders with these attributes are providing a negative return on the Life Plan product and premiums need to be increased.

Claims Payments
How do claims numbers and amounts compare by age group, sex, sales agent and products? Which sales people generate the most claims? How many claims do I get by age group and what are the total claims amounts by age group? Utilize the full interactivity of the controls to discover how claims are distributed over a number of parameters.

Claims Profit-Loss

Spend Impact on Mortality
We analyzed Russian statistical data on Mortality Rate for a 10 year period and correlated it to Gross Regional Product (GRP)in each Region across Russia. We also analyze mortality trends over a 5 year span to see what happens to the average Mortality Rate when the GRP increases, in order to ask the question whether production of wealth necessarily equals better health for the average citizen.

Health Care Erosion
In this report we look at how the level Health Care Service has eroded across Russia. By creating a formula based on the difference of the number doctors and hospital beds over an 18 year period, we can calculate a number that expresses an Erosion factor for services over time. We were then able to see where Health Care Erosion occurs by Regions across Russia and where it impacts the most.

Health Care Spend vs. Budgets
How does Gross Regional Product (GRP) compare to spend on Health Care? The map chart shows Regions indicated by color images depending on the % of GRP that is spent on Health Care. Low % of GRP spent is flagged in Red to Yellow and Green indicates a better than average % of spend. The bubble chart compares the GRP vs. Health Care spent as a % of GRP. The size of the bubble indicates GRP and the Y axis the Spend %. Therefore we can easily see that regions like Moscow with a large GRP have a low Spend %, indicating that as wealth increases, health care spend decreases. The scatter chart breaks down the level of GRP into segments (e.g. 0 to 100B Roubles, 100 B to 200B etc) and looks at how that compare to the ‘Health Care Erosion’ factor - a calculated field showing the increase/decrease of hospital beds and doctors over time – so we can see where erosion occurs most on what levels of GRP. The bigger the bubble the greater % of income is spent on Health Care. Double click on a bubble to drill down from District to Regions. Use filters on left side to compare income and health care expenses by Districts and Regions.

Genetic Analysis - Female
Analyzing a patient’s Genotype is increasingly becoming part of the set of tools doctors and consumers are using to diagnose potential health issues. However, a host of patient profile data such as Age, Race, Sex, Weight, Height and Lifestyle factors (e.g. smoking, pregnancy etc.) directly contribute to the risk factor on a patient’s Genetic profile. Further, the amount of Gene records and possible Gene-polymorphism combinations requires an easy way to visualize genetic records as they relate to patient data and the complex dependencies between the two. This dashboard illustrates the way doctors and consumers can create a personalized genetic profile by visually interacting with the Genetic database.

Contract Status by Area
Which buildings have contracts that are active and expired? How much space do I have vacant based on expired contracts? How much monthly income am I loosing on contracts that have expired? This analysis shows the area under contract by building and customer and the breakdown by those contracts that are active and expired.

Rental Income Analysis
How does our rental income compare by building, floors and rooms? Which buildings have the lowest occupancy and income? Who are my most valuable customers by rental agreement value? What is the revenue impact on contracts terminating within a specific time period? With the ability to visualize monthly revenues in relationship to buildings, floors and rooms, property managers to manage risks with rental contracts.

Rental Income Loss Analysis
Where are we loosing the most on expired rental contracts? Which buildings and expired contracts are generating the greatest monthly income loss? This analysis shows which buildings have the most vacant space and the most monthly income loss for rooms in each building.

Contracts Expiring
This report shows how timely negotiations and renewals of rental agreements makes a big difference in the profitability of our property management business. With an easy way to visualize rental contracts in relationship to buildings, floors and rooms gives managers an easy way to engage customers before contracts have expired and to let sales people see which rooms are available for new customers.
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What it Does
Rating
Price Free
Publisher Prem Couture
Release Date 10-05-2012
Reviews view reviews
Demo click here to view



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