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    • Property developer's sales analytics

    Property developer's sales analytics

    03-05-2021 02:28 AM - last edited 07-22-2021 00:51 AM

    alexkolokolov
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    Property developer's sales analytics

    ‎03-05-2021 02:28 AM

    How can I control and manage my team’s work in the best way?

     

    This question is one of the most important for every manager. Although the results of a whole project depend on the efficiency and motivation of every specialist or team, who worked on it, sometimes may be difficult to monitor everybody’s contribution personally. 

     

    However,  the task enables the manager or teamlead to motivate and penalize employees according to their personal impact. This dashboard reflects the sales dynamics of real estate. The property developer had 4 large objects and a group of salespersons.

     

    The dashboard was designed by the team from the Business Intelligence Institute headed by Alexey Kolokolov. For more examples of our dashboards, please, visit the gallery on the website https://alexkolokolov.com/en/gallery 

     

    There are three pages: Main, Sales team, and Call center. 

    On the main page, the key indicators are presented. There are cards with total sales by projects, finance, and marketing details.

     

    The call center’s page presents the efficiency of the team's cold calls. Firstly, there are cards with total sales, the conversion rate from calls to the signing of the contract, average amount of calls and visits by the manager. Also, there is a donut chart with the sales share of every project and sales funnel, which illustrates conversion from calls to deals. Comparison of actual and target sales is presented on the column chart with line. A number of presentations, which were made by salespersons, according to the calls are presented on the scatter chart.

    In addition, the efficiency of calls into account the property type is shown in the table.

     

    The sales team’s page shows the sales details report. There are cards with total sales and revenue rates as well as the number of contracts and average check. Also, there are column charts with profit dynamics by months and compare actual and target sales. The bullet chart shows revenue according to the property type while such managers’ results as sales target share and revenue target share are presented in the table in the left corner. 

     

    The academic experience of Alex Kolokolov includes 10 years of teaching and supervising students' graduate projects on Data Processing and Visualization. 10 years ago Alex Kolokolov founded his own company - Business Intelligence Institute, which helps business owners and decision-makers to understand big data and improve their business performance.

     

    He specialized in digital dashboards with MS PowerBI and Excel. Together with my colleagues I develop powerful tools for decision making and transform ordinary companies into data-driven businesses boosting their efficiency and performance.

     

    Also, he creates educational courses and specific training programs on data visualization and performs as a business trainer and consultant. By now he has trained 3000 people to manage data with confidence.


    Please, visit our website and check Alex Kolokolov’s LinkedIn profile. We are open to cooperation and are ready to work on new interesting projects.

     

    eyJrIjoiNGQ4Y2YwNjYtNzJmZi00MmFiLWFhOWUtNWJkZjc0ZWYxODNhIiwidCI6IjEzNDA0ODkzLTQwODEtNDNjYi05Y2Y3LTI2YTlkZDkzN2YwMiIsImMiOjl9&pageName=ReportSection

    Report DSG property lite_eng — final.pbix
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    ‎07-20-2022 10:31 PM

    Great set of dashboards! Very informative!

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    hacow42004
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    ‎07-15-2022 10:19 PM

    Very good article !!!  will follow the author

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    mocagek591
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    ‎07-15-2022 03:37 PM

    Good job!

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    alexkolesnikov
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    ‎07-15-2022 01:21 PM

    Wow! Great Job!

     

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    IrynaKoz
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    ‎07-15-2022 12:38 PM

    Everything is clear! Well done!

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    VictorSurkov
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    ‎07-15-2022 11:55 AM

    nicely done

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    agarkowa-a2016
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    ‎07-15-2022 11:10 AM

    Intresting dashboard. Background is useful. 

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    n3py29
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    ‎07-15-2022 10:37 AM

    Good job!

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    NataliKay
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    ‎07-15-2022 08:31 AM

    Great work!

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    AlexShulg
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    ‎07-15-2022 06:27 AM

    Good dashboard

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    soshka2021
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    ‎07-15-2022 04:53 AM

    Intresting dashboard. The background doesn't distract from data information. 

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    Alexkmnv
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    ‎07-15-2022 04:23 AM

    a very good dashboard! thank you for sharing your experience

    Message 62 of 73
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    LiudmilaVict
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    ‎07-14-2022 09:46 AM

    Dashboards are very well structured

    Message 61 of 73
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    Summer2022
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    ‎07-14-2022 08:15 AM

    отличная работа, узнаваемый элегантный стиль

     

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    Demigan
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    ‎07-09-2022 02:11 AM

    Pleasant informativeness. The colors are well chosen and it is interesting to observe the dependencies due to the competent choice of visualizations and their competent arrangement.

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    amberlai
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    ‎12-29-2021 06:56 PM

    Love the dashboard building.

    But data field name seems to be in Russian, does anyone know if there is a way to switch it to English? 

    Thanks a lot!

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    SMARTAAMIBA
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    ‎12-26-2021 08:20 AM

    Хорошая работа. Есть чем поучиться.

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    Katherine_S
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    ‎12-24-2021 12:44 PM

    Отличный дашборд!

    Message 56 of 73
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    malrun
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    ‎12-24-2021 12:04 PM

    Наглядный дешборд

    Структура и инфомативность на уровне

    Message 54 of 73
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    Katherine_S
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    ‎12-24-2021 12:43 PM

    Отлично!

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