Snwolley is a unique machine learning platform that endows users with the flexibility to easily process large volumes of data, then translate it into accurate predictions for decision making.

Use By Business Analysts:

Business analysts are commonly known as being professionals that regularly look in on businesses and create solutions using data. Snwolley can help a business analyst avoid losses by creating analytical models and create accurate predictive models which can be used by the company to generate solutions to problems within the company. Using snowlley, trend analysis is made easy through intelligent gathering and processing of web, social media and public data using machine learning. Snwolley’s AI-powered trend analysis provides the business analyst with a unique and reliable dataset and insights that can be used for making decisions concerning the business. Snwolley makes access to accurate data easy and in real time.

Data Scientists:

Data scientists use a large amount of data to draw useful information. They recognize trends and help create tools to automate certain processes in an organization, such as AI-powered chatbots, CRMs, etc.

Executives and Analytic Leaders:

Using Snwolley, executives and analytic leaders can automate well-structured decisions by analysing not only business data but also traditional approval process patterns to options, query or work items that require approval. Using snwolley, executives and analytic leaders can gain reliable and accurate insights into a buyer’s persona. Using this, a customer's behaviour is predicted. With this information executives can make effective decisions through data collected in real time. Executives are also able to better understand customer needs and desires through customer behaviour predictions and using this information, make the necessary arrangements to meet the needs of the customer. Crucial market decisions can be made also by data collected by Snwolley regarding a customer’s behaviour.

IT operations:

Using snwolley, IT personnels can improve upon company security by providing personnels with advanced monitoring capabilities through accurate data collection based on the behaviour and performance of applications and IT infrastructure. This helps IT personnels identify risk at a much faster rate. Problem resolution is made easier and faster because predictions can be made from previously collected data or historical data. With this, identification of issues is made more consistent and effective and more-accurate predictions are made based on this data to speed up problem resolution and also anticipate future risks even before they occur.

Software Engineer

Snwolley aids software engineers in effective prototyping processes. Using Snwolley’s AI and ML integrations, the prototyping process which involves careful planning by developers in order to decide on what features are to be included or excluded in a design by accessing needs is shortened. This is because of Snwolley's ability to analyse data based on past and present models. This helps software engineers to make fast and effective decisions, maximize impact while minimizing risks.

Maame is an AI chatbot developed by Npontu technologies that can be customized for multiple purposes such as virtual helpdesk, virtual assistant, client support, FAQ chatbot etc. This platform runs simultaneously (24/7) without rest. This chatbot does not express emotions and does not get frustrated.

Use By Business Analysts:

Maame can be used by business analysts to make informed decisions that benefits both the company and its customers. This is because of Maame’s ability to analyse customer sentiments. By learning from past experiences, Maame is able to deliver personalised experiences to customers by offering solutions specific to the needs of the customer. This helps businesses increase sales because data collected by business analysts based on customer experiences can be used to make informed decisions.

Data Scientists:

Maame can be used by Data scientists for data collection and predictive analysis. Data collected by Data scientists through the conversations between Maame and customers can be analysed and used for making future predictions. Insights collected by Data scientists can be used to optimize customer experience and other aspects of the business.

Executives and Analytic Leaders:

Based on feedbacks collected through interactions, executives and analytic leaders can make improvement on business services and products, make website optimizations etc

IT operations:

IT personnels can use Maame to automate workflows and provide access to information, expand self-service for employees and improve tasks, such as response to incidents.

Kedebah is a comprehensive cloud-based Enterprise Resource Planning (ERP) that handles all aspects of a company’s operational processes.

Human Resource Manager:

This enterprise resource planning platform has integrated a bit of HRM to help human resource managers. It helps in recruitment by providing useful information for decision making, optimizing recruitment processes to reduce workload. Human resource managers can further use Kedebah for human resource planning, training management and business trip management.

Project Managers:

Kedebah ERP reduces the work of the product manager by centralizing the database of an organization. Since the database is centralized, there is no hesitation or stalling during projects since all the team members can have access to all the data they need thereby improving collaboratio

Finance Personnels:

Kedebah helps in monitoring and improving inventory. The software has RFID, barcode scanners and serial numbers that helps finance personnels in keeping tab of all the financial transactions along the supply chain. Finance personnels can get real time data on inventory to help manage the finances of the country.

IT operations:

IT personnels can use Maame to automate workflows and provide access to information, expand self-service for employees and improve tasks, such as response to incidents.

As a Revenue Management Application, Karibi is designed to provide convenience in the registrations of agents, signing up of clients as well as the collection of data and revenue on the field. Karibi enables visibility in all customer transactions. It has the option of integrating various payment platforms and addressing reconciliation challenges from both service providers and their clients.

Use By Business Analysts:

Executives and analytic leaders With the use of Karibi, business analysts can obtain large sets of data in numerical form and extract valuable information from them relating to the companies revenue and this data in turn used for making business decisions. Karibi reduces workload for business personnels through convenient processes such as registrations, sign ups and data collection.

Software Engineers & Data Analysts:

Data collected using Karibi can be analysed and the results used for making updates, fixes and making future predictions.

IT operations:

IT Operators have reduced workload due to the convenience of the use of Karibi for its various operations. With Karibi’s client app, IT operators have some of their workload lifted since it allows clients to perform certain transactions without the need for an agent.

Deywuro is a comprehensive VAS platform for the dissemination of SMS, Email and social media broadcast (Facebook, Instagram and the likes) using one central application.

Use by Salesperson

Deywuro provides adequate reporting tools which could be used by a salesperson to assess the performance of their campaigns from a central source. It comes with sentiment analysis (AI) modules which can aid sales persons to know how progressive their campaigns are and also to know areas they have to polish up to ensure efficiency in their work. Deywuro also comes with various advertising modules which helps with efficient advertisements.

Use By Business Analysts:

Also, Deywuro can be seen as an information hub since it is purposed for the dissemination of information through various forms (emails, sms, etc). With this, the business analyst can use information from this central source to analyse trends.

Data Scientists:

Data scientists can also employ the data derived from Deywuro application in their analysis which can be used to create various modules such as advertising modules which is based on insight derived from analyzing customer trends from this central application.