SimplyAnalytics is coming to SCELC Vendor Day – March 14

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We will be exhibiting at SCELC* Vendor Day on March 14th. Visit us at table 510 and attend one of our two sessions demonstrating SimplyAnalytics. The presentations will highlight newly available hyperlocal data that will help you analyze detailed consumer behavior and understand the socio-demographic and economic conditions in your local neighborhood or across the entire USA. With this data you can answer questions such as “What percent of households in Miami plan to buy a new vehicle in the next year?” and “Which communities in New Orleans spent the most at fine jewelry stores in 2018?”

SCELC members are eligible for discounts between 10% and 33% on a subscription.

We hope to see you there!

 

*Statewide California Electronic Library Consortium (SCELC)

 

 

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See SimplyAnalytics at The Charleston Conference – November 6, 2018

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We are pleased to be exhibiting at this year’s 30th Annual Charleston Library Conference! The Charleston Vendor Showcase will be held Tuesday, November 6, 2018, from 10:30 a.m. to 6:00 p.m., at the Gaillard Center, 95 Calhoun Street, Charleston, SC  29401.

You can find us at Table 30 in the Grand Ballroom, where we will be available to answer questions and share information about SimplyAnalytics. If you are there, stop by and say hello!

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Browsing for Data Variables: Category Search

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Welcome readers! This week we’ll take a look at how to browse for data by category in SimplyAnalytics. Browsing by Category is the default way of browsing for data in SimplyAnalytics. It includes robust filtering capabilities to quickly find the specific data you are looking for from among the thousands of variables in the database.

Suppose we want to find the percentage of females who are employed in the healthcare industry.

First, select the broadest appropriate category – Jobs & Employment.

The top left of the panel displays how many variables are related to Jobs & Employment.

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Feature Highlight – Jump to Path

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Welcome readers! Today we have a quick feature highlight that will assist you in browsing and searching for data variables.

All data variables have a path where they reside within their datasets. For example, the data variable: % Education, College, Master’s or Doctorate Degree can be found at this dataset path: Census Data » People and Households » Education » Attainment.

Each » reflects a different folder and subfolder. In the above example, the Attainment folder is within the Education folder that is found under People and Households within the Census Data.

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View Spotlight – Time Series Table

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Welcome readers! This week we are excited to feature our newest view in SimplyAnalytics, the Time Series Table.

What is it?

The Time Series Table allows you to quickly pull all years available for a variable of your choosing. This allows you to easily identify trends over time.

Example

You want to track the trend of median household income across some target locations.

In your project, select New View towards the top-right of your screen and select Time Series Table.

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View Spotlight: Related Data Table

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Hello readers! Welcome to this week’s blog. This week we will feature the Related Data Table view and how you can use it to maximize your productivity in SimplyAnalytics.

What is it?

The Related Data Table View is designed to allow you to quickly add in many similar data variables at once. For example, if you add “% Households w/ Income $50,000 to $74,999” the report will also show all of the other income ranges as well.

Some other use cases: you want to quickly add in all life-stage data variables, or PRIZM psychographic segments, or all Language variables.

Example

Identify what the top PRIZM household segment is for a ZIP Code. The PRIZM Dataset is a marketing segmentation system that allows you to understand the demographic and lifestyle/consumer traits of any location in the United States. This data is very popular within marketing departments across many large companies, and we are happy to offer it as an add on module to your subscription.

(1) Select New View from the top-right of the interface 

(2) Click on the Create button under the Related Data Table section

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We are coming to ALA June 22-25th! [booth 837]

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This summer’s ALA conference is in New Orleans and the SimplyAnalytics team will be exhibiting at booth #837. We hope you stop by to learn about new features, check out our new data offerings, and of course have a Ghirardelli chocolate. More information

Exhibit Hours:

Friday June 22:            5:30 pm-7pm

Saturday June 23:         9 am – 5 pm

Sunday June 24:         9 am – 5 pm

Monday June 25:      9 am – 2 pm

We Are Exhibiting Web Badge Image

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Visit SimplyAnalytics at SLA, June 11-13 [booth 912]

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We will be exhibiting at the SLA conference in Baltimore, MD this June. Stop by booth #912 and say hello – we look forward to demonstrating SimplyAnalytics, answering your questions, and catching up with new and long-time customers! Visit the SLA site for conference info.

Exhibit Hours:

Monday June 11th:             12 pm-7pm

Tuesday June 12th:            10 am – 3:30 pm

Wednesday June 13th:      10 am – 1:30 pm

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Feature Highlight: Data Filters

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Hello everyone and welcome to this week’s blog. This week we will discuss how to create and utilize filters for your research.

Why Use a Filter?

Filters are a great way to identify target areas that meet multiple conditions.

Use Case

You want to identify areas of San Antonio to market your afterschool program that is aimed towards low income and low educational attainment areas. You can use a data filter to help find the target areas.

Example

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