tilda product overview

~TildaAll your data in one view.

Product Overview 12th September 2013All your data in one view.

~Tilda - A dashboard combining and summarising data from different sources, in different formats, to provide business insight. Combines analysis of structured numeric and unstructured text data. Users can upload data or source it through APIs.

Product Overview All your data in one view. 12th September 2013

Many types of Data:-Market Research data – quantitative from surveys; open

ended text; qualitative transcripts; etc. - Social media posts – twitter, facebook, blogs, pinterest, etc- Internal corporate data – sales, productivity, operational

data.

Need different types of analysis, but there is potential for extra insight from comparison of results.


Quantitative Data Analysis:Uses the Triple S XML schema for labels. Allows:- Edit data – create new summary variables;- Create schema to match a data file; - Create topline reports and summary tables.

(can be used for exploratory analysis of any quantitative data set… )



Example Table

Text Data- Tilda will include a number of ways of analysing text,

depending on the nature of the text and your requirements- Users can upload text files, or use the built-in social media

search to collect posts according to keywords or location. - Text Analysis: Part of Speech tagging, listing of most

common words and their frequency in the data set shown.


Text Data- Sentiment Analysis: Positive / Negative analysis of the

sentences / tweets / verbatims in your data set. - Named Entity Recognition: Identification of people,

companies, products, or places people are talking about in relation to your business. - These analyses are powered by the Bitext APIs.


Text Data- Text Clustering: automatically find groups of documents /

statements / posts by content within the text data set (using K-Means clustering). - Text Classification: taking a set of posts the user has

classified, this analysis will categorise the rest of the text data set (using a Naïve Bayes Classifier).


Predictive Analytics: using complex algorithms on any or all of these data types, is it possible to predict – “now-cast” or forecast – how things are now or will be?This could use a single regression algorithm, or a combination, depending on the data and the user’s need and judgement.


Delivery of Results. - Results from all analyses available as widgets which can be

presented in a dashboard. - Results may be presented in tables, graphically, or as maps. - The analyst/user sets up analyses and creates widgets.- The client then receives a url and login credentials to access

the dashboard. - As data is updated, the widgets in the dashboard will be

updated. Product Overview All your data in one view. 12th September 2013

Tilda Beta Launch early October 2013.

For more information:http://[email protected]+44 7914 740972


http://www.trevanianlegg.co.uk/

mailto:[email protected]

tilda product overview

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