BUSINESS INTELLIGENCE
| BIG DATA
Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important.
Big Data
Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important.
The term “big data” refers to data that is so large, fast or complex that it’s difficult or impossible to process using traditional methods. The act of accessing and storing large amounts of information for analytics has been around a long time. But the concept of big data gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three V’s.
Veracity
Veracity refers to the quality of data. Because data comes from so many different sources, it’s difficult to link, match, cleanse and transform data across systems. Businesses need to connect and correlate relationships, hierarchies and multiple data linkages. Otherwise, their data can quickly spiral out of control.
Volume
Organizations collect data from a variety of sources, including business transactions, smart (IoT) devices, industrial equipment, videos, social media and more. In the past, storing it would have been a problem – but cheaper storage on platforms like data lakes and Hadoop have eased the burden.
Variability
In addition to the increasing velocities and varieties of data, data flows are unpredictable – changing often and varying greatly. It’s challenging, but businesses need to know when something is trending in social media, and how to manage daily, seasonal and event-triggered peak data loads.
Velocity
With the growth in the Internet of Things, data streams in to businesses, flow in at unprecedented speed, and must be handled in a timely manner. RFID tags, sensors and smart meters are driving the need to deal with these torrents of data in near-real time.
Variety
Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions.
Our Simple Pipeline
We implement a pipelining framwork – from data generation to how data is subsequently stored.
Data Source Identification
Data Collection
Data Processing
Data Storage
Next Step
BI Discovery Session (Virtual Meeting)
Meet with one of our leading BI Architects to experience your environment and see your struggles.
Review Proposed Solutions
After the session, we’ll review, summarize, and provide a comprehensive list of appropriate solutions.
Get Started with Smarter Data
Upon agreement of scope and approved solution, we will work with you to develop and implement a solution that achieves your objectives.
Supporting You After Delivery
Even after delivery of the solution we offer extensive support options to ensure you can focus on delivering business value.
We would like to hear from you
Have questions about our pricing, implementation or how best to address your data integration and analytics needs? We’d love to help.
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