Big and Small Data Analysis

Hadoop, Azure Machine Learning, Data Mining

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. Big data is being generated by everything around us at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it. Big data is arriving from multiple sources at an alarming velocity, volume and variety.

Insights from big data can enable an organization to make better decisions—deepening customer engagement, optimizing operations, preventing threats and fraud, and capitalizing on new sources of revenue if the organization knows where to look and ask the right questions.

Big Data is a great resource to analyze general trends and get the big picture.

Small Data

At Acquate, we define small data as information that defines individual interactions. The amount of data is irrelevant as Small Data amounts can compete with Big Data amounts.

An example of this definition could be your individual customer’s habits and behaviors. Social channels are rich with small data. At a personal level, we are constantly creating this small data each time we check in, search, browse, post and so on.

Small Data allows organizations to create personalized experiences.

Big Data vs. Small Data

We use both Big and Small Data. Sometimes insights from Small Data shapes processes and organizational behavior whereas sometimes it is the Big Data that drives an organizational change.

We believe it is important to look into both worlds and adopt a holistic approach.  In addition, we look at the interactions of the data.

Acquate makes the data analysis easy to understand by providing powerful dashboards for your executives using the Azure Machine Learning and Power BI technology.

Contact us and find out how you can gain better insight to your organization and customers.

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