The world is becoming more competitive than ever, and businesses need to acclimatize themselves with the changing dynamics, to stay relevant. The best possible approach is to respond promptly to the customer demands while keeping a keen eye on their personalized requirements. Companies who make it big in the global technology landscape are also well-versed with the employee aspirations and needs and therefore a specialized tool like DataSense is required to gauge sentiments and take decisions, accordingly.
Leads are incredibly desirable entrepreneurial commodities but generating and leveraging them requires superior professional skills and marketing expertise. One way of getting closer to reliable lead generation is to opt for the much-anticipated marketing automation tool that comes equipped with an integrated CRM module for assisting customers throughout the process. However, in hindsight, marketing automation and other associated tools only generate data and businesses do require an additional business solution that would help them reach inferences while integrated itself to the WCA and even facilitate selective data exchange. This is where the DataSense solution from Comsense comes in as a handy tool for most organizations as this flagship product readily makes room for bi-directional information and data exchange between the concerned marketing automation tool and the legacy applications of the involved firm. With DataSense added into the scheme of things, companies can gauge the customer sentiments and that too in real-time by putting Business Intelligence to use.While this makes sure that companies don’t only get closer to leads and customer behavioral patterns but can eventually create a highly personalized environment for the clients to thrive in.
DataSense: How it Works?
The entire data procurement process starts between the client sources and the involved databases as DataSense continually looks to extract essential insights from the data lake. The existing CRM synonymous to any marketing automation tool works holistically with legacy system databases and third-party client databases to feed the DataSense solution with necessary fuel.
The process, however, works best with IBM’s Watson on-board as it fetches the necessary campaign data procured via social interfaces, mobile applications, SMS, and Emails while feeding the same to the DataSense solutions. The important thing is that this process is bidirectional and comes forth with a symbiotic arrangement.
Once DataSense gets database access from one end and campaign insights from the other, it initiates Automated and Real-Time Data Exchange besides integrating tightly with the WCA. Moreover, DataSense also functions as the client’s go-to DBMS system courtesy of its Database-Agnostic properties.
How DataSense Pulls Selective Campaign Insights from WCA Interface?
To perceive the Watson Campaign Automation and DataSense solution from a layman’s perspective, it is necessary to understand the data fetching mechanism and how the APIs are used for scheduling selective insights procurement.
To begin with, the WCA fires up its conglomerate of APIs for fetching campaign insights. Once the data is fed into the pool, DataSense solutions start working and the respective APIs help clients use a scheduler for batching customer-specific jobs based on the urgency levels.
The best thing about this AI-empowered tool from Comsense is that the scheduling intervals can be tweaked and modified according to the changing preferences.
Some of the better aspects regarding DataSense include its cohesion with the Data Lake via Client APIs followed by direct pool tapping and continual internet connectivity.
Why is DataSense an Important Cog in the Marketing Wheel?
To create a more holistic interface, DataSense has to work as an integral part of the entire corporate marketing architecture. While tapping into the data lake for gathering customer insights is just an initial part of the entire process, the actual machine learning inputs are applied when the DataSense tool eventually feed information into the WCA after processing the same, initially.
With customer sentiments segregated in the best possible manner, and the personalization initiatives scheduled accordingly, the DataSense solution eventually feeds information to the analytical database for processing data further. Information stored within the analytical database has a bi-directional flow into the machine learning models which ultimately determine the potency of the marketing campaign of the concerned organization.
Therefore, DataSense is undeniably an essential business tool without which it becomes difficult to attend to the customers on a personal level and even automate proceedings based on the inferences drawn by the marketing automation tools.
In simpler words, the Watson Campaign Automation dumps the data into the Client Data Lake which can only be processed efficiently by the DataSense solution. DataSense deploys its API for processing the insights in a productive manner while creating a usable contact list fosr the WCA tools to use to extrapolate the marketing endeavors. Therefore, DataSense tool is more like a sieve that filters insights and makes them more usable for feeding into the analytical database for better processing.
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