Bardess solutions allow businesses to exploit new technologies that improve business productivity. We can help you implement Big Data tools such as Hadoop & Cloudera to collect and process large data volumes that can be sent to visualization tools like QlikSense or Tableau via integration and data preparation tools such as Paxata and Alteryx. Additionally, future outcomes can be forecast from the collected data with predictive analytic tools such as R, SAS, MatLab or Compellon.
Big Data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn’t refer to any specific quantity, the term is often used when speaking about petabytes, exabytes or zettabytes of data. Over 80% of data is unstructured or semi-structured, forcing new approaches to analysis of data
Bardess can help you find the right emerging technologies to enable your organization to make the most of big data and big data analytics. This may include finding cheap, abundant storage, faster processing, from affordable, distributed big data platforms, such as Hadoop as well as implementing parallel processing, clustering, MPP, virtualization, large grid environments, high connectivity, high throughputs and Cloud Computing based upon your needs and budget.
Predictive Analytics is an area of data mining that deals with extracting information from data and using it to predict trends and behavior patterns. We can help implement tools such as “R”, MatLab, SAS and new comers such as Compellon provide a means to rapidly analyze data in hours or days rather than long periods of time.
How Bardess Can Help Make it Actionable
Bardess can help your organization do more than just acquire data. We can help you make sense out of your data putting it all together and making it actionable. By building connections from a myriad of data sources to visualization tools such as Qlik or Tableau, we can help you to work with very large data sets and get answers quickly that were previously unattainable. Users can explore data both structured and unstructured that are obtained from a wide variety of disparate data sources. The integration is possible by implementing the right integration and search tools.
Data Visualization and DiscoveryQlikSense and Tableau
Unstructured and Structured Data SearchElastic Search and Attivio
Data Preparation and IntegrationPaxata, Alteryx, and Informatica
By creating the links between Big Data and advanced analytics sources, we can help you determine and predict future business outcomes based upon large amounts of structured and unstructured data such as:
- Root causes of product failures, issues and defects in near-real time
- Optimize routes for transportation and shipping vehicles.
- Analyze millions of product SKUs to determine prices to maximize profit or clear inventory.
- Send tailored recommendations to mobile devices while customers are close by to take advantage of the offers.
- Recalculate entire risk portfolios.
- Quickly identify key customers.
- Use clickstream analysis and data mining to detect fraudulent behavior.