Data Collection, Preparation, Analytics, Secure Network Management, Contact Center Services,Back Office Processing
Solar Power generation and other activities can be optimized with the right data. In this case, you can use solar radiation data from https://solcast.com. This dataset can be combined with other datasets to generate new insights!
https://solcast.com/embed.html?v=phl/2021-01-22/1280×720
This solar radiation map was created by Solcast:
Our clients typically need to quickly complete their machine learning projects. They also need to be flexible and nimble without adding head counts. Our outsourced data preparation service takes care of your ETL tasks (Extract, Transform, Load) and delivers quick and accurate data for their needs. We help with the 80% part that slows down the analytics portion.
This 80% typically involves :
Data preparation tasks like Data Digitization, Data Aggregation/Consolidation, Data Entry, Data labeling.
Our trained and experienced teams off load these tasks and help your team accelerate your data analytics projects. We understand your needs. We can work with Microsoft Access, PDF files, Excel, Statistical files and connect to data on Amazon Athena, Aurora, EMR Hadoop Hive, Redshift, Microsoft Azure, Apache Drill, Aster Database, Cloudera Hadoop, Denodo, EXASOL, Google Cloud, Horton works Hadoop Hive, IBM DB2, IBM PDA (Netezza) and more!
Data Digitization is involved with scanning paper based forms and applying OCR with human editors to ensure that the digitized data is accurate. Most often, data are in different silos. Our teams can consolidate this into one dataset for your teams to work on.
Typical Tasks at this stage includes:
Data Entry involves human intervention in completing those missing values that would otherwise invalidate the records. Data editing is also needed to normalize the inputs as well.
Finally, data labeling (Annotation) helps you train your AI process. Our teams have labeled hundreds of thousands of images for past projects.
Finally, our project managers have data analytics background that understands your team’s need for data quality. Contact us for a zoom conference to find out more.
Robolawyer startup DoNotPay launched Robo Revenge. It enables users to sue any US-based company that spams you with robocalls. The service generates a fake credit card number that you give to the telemarketer. Once they use it, their details are then recorded in the system.
The robocaller’s details and then helps you sue them for as much as $3,000. The service is live now on DoNotPay’s website and in its app.
In a Dimensional Research survey sponsored by Zendesk in 2013:
What makes for a BAD interaction?
72% said it was having to explain a problem to multiple people
51 % on the problem not being resolved.
Not only are customers most frustrated with the way customer service issues are handled, 58 percent said they were more likely to share customer service experiences today than they were five years ago, with more and more people sharing experiences on social networking sites and writing online reviews
Event is organized by Contact Centre Association of Singapore.
KLM is the Dutch airline that evolved its use of Twitter in unexpected ways. They originally used twitter as a platform for social media marketing. They quickly realized that it could also be used as a platform for communicating service disruptions. This proved invaluable during the 2011 Iceland volcano eruption.
Learn more. Chat with us now by clicking on the tab at the bottom right.
Are you looking to increase the effectiveness of your outbound/telemarketing campaigns? Our system leverage advance Machine Learning algorithm that looks at your data. The system then generates ‘rules’ that help us co-relate your leads to most effect ‘benefits statements” (Ie. Cost benefit, Time benefit, quality benefit) .
This means that our telemarketing team can connect more effectively with your leads by using the benefit statements that connect or matter most to your leads.
Learn more. Chat with us now by clicking on the tab at the bottom right.