How do I Enhance My CRM Software With Data Intelligence?

Give Your CRM The Power Of Data Intelligence.

In a survey by Freshworks Inc., 75% of CRM users participating in the survey said that they are looking for more out of Artificial Intelligence (AI) and are open to switching to a different CRM platform to take advantage of AI capabilities.

As businesses go digital, they are increasingly relying on CRM software to collect, store, organize and centralize their data. Also, a lot of sales activities are getting automated to drive productivity. With businesses generating huge volumes of customer data at multiple touchpoints, there is a need for CRM systems that can not only organize their data but also process it to extract real-time data intelligence.

Is Your CRM Software able to provide Data Intelligence?

CRM and data intelligence is a very powerful combination. Businesses are collecting a lot of customer data that can be processed using data science technologies like AI, Machine Learning & NLP etc., to extract data intelligence. A sales rep using a CRM platform today has a lot of data on a customer- social media profiles, job profiles, past buying history etc. Analysing and using this data is tough. Data science technologies like AI and Machine Learning can analyze data on a high scale and deliver actionable intelligence in real-time.

Strategy

AI in ecommerce
  • Demand Forecasting
  • Sales Forecasting
  • Sales Data Analysis
  • Sales Coverage Planning

Operations

AI in ecommerce
  • Automate Workflows
  • Lead Scoring
  • Product Recommendations

Customers

AI in ecommerce
  • Customer Profile
  • Customer Engagement
  • Sentiment Analysis
  • Customer Churn

How Can Qualetics Help you?

Qualetics  is our on-demand Data Intelligence as a Service (DiaaS) platform that can help CRM platforms quickly embed advanced Data Analysis and Artificial Intelligence methodologies into their product in a much simpler manner than traditional methods. Solutions in the market put the onus of achieving success with implementing AI & ML solutions on the Software Developers without realizing the cost overhead it introduces. Our platform and advanced APIs allow for easy integration of insights and data-based Intelligence into your Products & Systems to better serve you and your customer needs without breaking the bank.

In order to implement a seamless solution to analyze the data captured by your CRM software, the following are key components that Qualetics offers-

HIS

Secure and stable Data Management

Qualetics has developed its proprietary data ingestion API that can transmit extremely high volumes of data. Our clients are provided with secure credentials and some specific configuration that allows data from the CRM platform to be transmitted to the servers.

HIS

Data Virtualization to store, clean and transform vast amounts of data

Data ingested through our API is stored in high volume storage after going through several stages of transformation that involves data validation and deduplication. This will provide an in-depth understanding of the intrinsic value of the captured data and transforming it information.

HIS

Data Analysis platform to identify features, build and train models

With the data securely stored in the storage layer, models that are designed and developed, specific to the incoming data structures are applied automatically to analyze the data in real-time and render the results to our output layer. Certain use cases require continuous analysis of historic data as well, which is conducted in the same system.

HIS

Data Delivery & Visualization platform

Results generated through the analysis layer are available through our dedicated customer portal which contains several features for viewing results such as filtering, sharing, subscribing to changes in data and also exporting the analyzed results into different formats, thus providing an opportunity to see hidden patterns.

In addition to a visualization platform, the portal also provides an API for developers who wish to integrate the visualizations or raw results natively into their applications. Doing so allows the developer to control the entire user experience of its users to the application features and advanced analytical results natively within a single client application.

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