Checklist - Demos

1) Setting up the demo

  • Ensure you understood the use case of this prospect

  • Check their website

  • Understand what they do

  • Understand how they use data

  • Look for information about the person who set up the demo

  • What is their role ?

  • Are they business/technical/data oriented ?

  • Are they the final decision buyer ?

  • Think about how SlicingDice can meet their demand, especially which features of our product this lead might draw value from

  • Set up a Calendar appointment. Invite the lead and whatever team members, theirs or ours, that need to be invited

  • Ask them if they want to use Hangouts or another application

  • Ask them what they expect of this call

  • Ask them if they prefer you demonstrate the product or guide them in a hands-on demo (same step-by-step)

2) Demo Opening

  • Present yourself and everyone from SlicingDice.

  • Let them present themselves

  • Thank for the opportunity to show them our product

  • Tell a little bit of why we built SlicingDice

  • Tell them what we understand to be their use case and let them correct any details. It’s useful to ask questions about their case for deeper understanding

  • The main goals are understanding their use case and their profile - whether it’s technical, data-oriented, business, etc. This will help guide what information to focus on and how to talk to them (if more technical, more focused on business goals, etc)

2.1) Guided demo

If they want to do a guided, hands-on mode, ask them to:

  • Register

  • Log in.

  • Click on Take the Tour

  • Close the video that appears.

  • Share their screen

  • Now, guide them through the product, while explaining each section:

2.2) Presentation demo

If they prefer a presentation-style demo:

  • Share your screen

  • Login to SlicingDice

From this point on you will either execute the steps or guide the client to execute them.

"Coded" options are properties you must explain.

"Quoted sentences in italic are things you must say."

3) SlicingDice Demo - first half

3.1) Control Panel Home

  • CP home statistics and menus

  • "Everything we’ll see can be done through API - from data insertion to column creation, from queries to creating users and managing their access."

3.2) Module 1 - Data Warehouse

  • Create New Database

    • Name and metadata

    • Clouds, triple redundancy, fully managed

    • Production x Test DB

    • Pricing plans and Smart Pricing

    • Use pricing hook to talk about compression

    • Choose any cloud they prefer

    • Choose Test database

  • Schema definition

    • Dimensions x tables

    • Schemaless

    • Structured x Semi-structured data; time series and non-time series -> all in a single dimension

    • Can be altered on the fly

    • "Since it can be altered at anytime without downtime, you don't need to worry about it now"

    • "This simplicity is backed by the fact that we’re the only database in the world to guarantee performance - 10s query times for any query, any dataset."

    • Continue

  • "We’ll get a couple privacy options."

    • IP whitelist

    • Custom DB keys

    • Click the ToS checkbox and finish.

    • "You just created a database in about 5 minutes. "

3.3) Workbench

  • "We offer a simple workbench to make SQL and API queries. We'll use it to create some columns, so we can add data in the next module faster."

  • Choose the database that was just created

  • Insert this SQL query

  • Run

3.4) Module 2 - Data Loading

"With a database created, you need to insert data"

  • Create a new data source

    • Name and metadata

    • "We built the first few connectors based on what we thought we should. We created the rest based on users' requests and now they are around 150. So if there is some source you need that's not in this list, that is not a dealbreaker, because we can add it"

    • Insert this URL for CSV HTTP

    • Done

    • "How long did that take ? 1 minute ?"

Create a new loading job.

  • Name and metadata.

  • Choose the data source that was just created

  • Explain job types

  • Choose manual

  • Choose database and dimension

  • Choose table and insert table name

"You could choose query and perform a simple transformation with SQL"

  • Map columns and done

  • Execute loading job

4) Intermission

"These are the first 2 modules of SlicingDice. You can see we covered important features but it took only a few minutes. The idea here is that you spend as little time as possible in these modules, since they are not mission-critical for anyone. Our goal is to make you go through those as quickly as possible. Is there any question ?"

5) SlicingDice Demo - second half

5.1) Module 3 - Business Intelligence

"Now we’ll move into the tools that extract value from data. First, our BI module. It’s separated in 2 tools: data visualization, to create and share charts and dashboards - gives real-time answers for questions you already know. Self-service BI - a pivot table and simple charts creation that any user can leverage for data exploration - answers questions in don’t know beforehand."

  • You can use external tools if needed.

  • Data Visualization

    • Choose a database

    • Create a dataset

    • SELECT * FROM Dimension

    • "You can filter if you want but it’s usually easier to filter using the tool itself"

    • Click done, name your dataset and click done again

    • Now click on the dataset and create a dashboard

    • Insert a chart

    • Our capabilities include:

      • Interactive charts

      • Real-time updates

      • Drill down

      • Change chart type

      • Download charts (as CSV even)

      • Filter charts per user

      • Share via URL (with password)

      • Embed with iFrame

      • Embed other objects

      • Conditional formatting

      • Calculations

      • You can even embed the whole Data Viz tool in you application

  • Self-service BI tool

    • Choose a source database

    • Add a row and a column

    • Click apply, it will show a table with those values

    • You can create simple charts with this data

  • Any questions ?

5.2) Module 4 - Machine Learning

"Our ML module is the only portion of SlicingDice that was not made by us - we partner with an spanish company called BigML, which has around 90k users worldwide. The main reason we partnered with them is that BigML and SlicingDice are very similar in essence - they also built a tool that is very easy to start using and can scale a LOT."

  • No data movement

  • OptiML

  • Evaluations

  • Fusions and unsupervised when you learn more about ML

  • WhizzML, Flatiline

6) Closing

"These are the operational capabilities of SlicingDice. The control panel has a few other important details."

  • Statistics

  • Identity and Access

  • Logs & auditing

  • Granular Roles access

  • Billing, support

  • We add new features constantly - mention some not yet deployed feature

"This is a 30-thousand-feet-high view of SlicingDice. Any questions ?"