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FACING YOUR DATA

Discover how Eligotech makes the Big Data issue easy to approach and solve,
without needing specific technical skills on Hadoop or other complex technologies.

Eligotech Harpoon provides a simple way to prepare, discover and apply
any data of any size in a very efficient way.

BIG DATA MADE EASY

Eligotech Harpoon

FOR TECHNICAL

A platform to build your own big data solution without massive investments

FOR DATA ANALYST

Ready to use solution for data preparation and discovery, easy to integrate with any company infrastructure

Three steps to Value

PREPARE
your data

Valuable data can be stored in many formats from many different sources. To make use of it you need the ability to import data, secure data, define a common structure so that data can be combined and analyze data.

DISCOVER
the value

With Big Data it is essential to assess data in order to extract only the data that can provide real value. Data discovery is the mandatory step required before any analysis can take place.

APPLY
to your business

Eligotech Harpoon can manage the entire lifecycle of data preparation, discovery and publishing by integrating with your existing BI tools, your data warehouses and business applications.

BIG DATA = BIG CHALLENGE

Potential use cases

1

Banking

A bank has the challenge to provide its analysts and data auditors query access to a set of different databases, in total around 15TB worth of data.

2

Insurance

An insurance company needs to manage data coming from many different databases belonging to different companies recently acquired.

3

Retail

A retail company wants to correlate the on-line behavior of its customers with what they purchase at its “physical” shops.

4

Digital Advertising

A digital advertising company needs to store around 100GBs of daily web logs. They want to provide their users a simple dashboard for querying the web logs and then understanding the effectiveness of their marketing campaign

5

Telecommunications

A telecommunication company needs to analyze the customer data records as generated by the service platforms. As you can imagine the amount of data is extremely huge, this is definitely one of the toughest BigData use-cases.