This document provides an overview of the smart data hub service catalogue, which includes offerings around data subscription, data hub, data collection, data analysis, and data consulting. The data subscription service involves regularly scheduled custom data provision for a monthly fee. The data hub is a collaborative platform for sharing, managing, and analyzing data from various sources. Data collection involves scraping and parsing data at scale from external or internal resources. Data analysis includes machine learning, visualization, and interpreting results. Data consulting consists of sessions to help businesses understand best practices for data management and analysis.

1. Smart Data Hub
Overviewof service catalogue offer
Ali Belcaid© AB Advisory& Consulting 2014
Smart Data
Hub

2. Data Subscription
What:
Regular scheduled custom data provision for a monthly fee with a setup charge. This might include pricing data, lead generation data, research data. Monitoring services for social media and websites. Market data collection.
How :
Scraping/parsingdata, Vertical searchand workflow setup for Data flow
Solutions :
Nutch, Scrapy, Solr, Elasticsearch… + Hadoop/Hbase/Mongodb/MySQL… for storage

3. Data Hub
What:
A collaborative platform for sharing, managing and analyzing your data. This might be a standalone product where you carry out provision and analysis data yourselves, or a joint endeavor where we source and analyze data with you.
How :
Single repository to manage data (external & internal)
Solution :
CKAN open source data repository.

4. Data Collection
What:
Data collection at scale through scraping external or internal resources with transformation to formats for reuse.
How :
Scraping/parsingdata and storageon targetedformat
Solution :
Nutch, Scrapy, Solr, Elasticsearch… + Hadoop/Hbase/Mongodb/MySQL… for storage

5. Data Analysis
What:
Analysis, visualization and interpretation of data, either acquired through scraping or ingested via more conventional means.
How :
Machine learning, NLP, custom models, statistics, algorithms, visualization, stories telling…
Solution :
Knime, R, python, SQL, Hive, Pig, Spark, BI software (BO, Tableau, Qlikview), Visual JS libraries(D3.js…)

6. Data Consulting
What:
sessions to help businesses understand methods in data collection, analysis and management.
How :
Consulting services @ customer site or online
Solution :
Methodologies and best practices on how to gather, transform, analyze, visualize data and interpret results and findings.