Through 2015, 85% of Fortune 500 organizations will be unable to exploit big data for competitive advantage – Gartner
What is the actual big data problem?
Companies use Hadoop to refine and load data into data warehouse and leverage the platform as a data store. Making the new data valuable is most important. This idea is lost in the surge of collecting and storing large amounts of data which also exploit considerable resources. To achieve this goal of adding value to the data, we have to cultivate big data with tools like Alteryx; so that the data, analysis and the consumption of big data can be accessible and usable by people who need it the most – business decision makers & analysts, and not just the specialists.
How Alteryx fosters your data?
- Creating Perspectives for Big Data through Data Blending
This can be achieved by combining big data with other sources of insight. For example website activity logs stored in a big data deployment such as Hadoop or NoSQL database with structured data from excel files and an ecommerce system, can easily be blended. HCatalog – a Hadoop based platform that allows communicating with analytical tools like Alteryx and other systems with data. Putting all the three tools together solves new analytical problems which could not be solved previously.
- Creating a Right Data Set
This is important but to see patterns in big data it is often necessary to use sophisticated analytics. Alteryx lets business analysts create big data solutions using a three range sophisticated analytics that are easy to use. These include Statistical modelling, predictive analytics and spatial analytical capabilities. All of this delivers sophisticated analytics without the need for custom big data solutions developed by data scientists.
- Adding value to the Data
Once the right data and analysis is in place, big data analytics can really add the value that everyone is talking about. This is possible with the Alteryx platform because analysts can create simple yet powerful analytic applications for the business decision makers. Alternatively, data can be used in applications or pushed back into data stores, such as the data warehouse.
- Using 3rd Party Tools
Finally, third party tools such as tableau along with d3js can be used to visualize and explore the data.
Alteryx Repeats as ‘Visionary’ in the Gartner 2015 Magic Quadrant for BI and Analytics Platforms – Alteryx
Here are the 3 common patterns to consider while merging big data with analytics using the Hadoop and the Alteryx platform-
Most of the engagements that we see with customers fall under one of these three categories. Alteryx is unlike other solutions that require multiple tools. All of this is possible with one single Alteryx analytics platform for big data. It allows us to cultivate big data and deliver business value right away.
Big Data Services
, a marketing-technology company for digital natives, also an Alteryx partner, is working for different sectors like banking, finance, technology and healthcare to provide big data solutions to cater to customer needs. Click here
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