Companies that understand how to leverage their structured and unstructured data can tap into valuable customer insights, new ways of marketing their products and services, and entirely new lines of business.
Data-driven companies can predict their future rather than react to their past. To achieve this vision, our own team of experienced professionals can help with custom projects.
If you want to be more data-driven but are not yet ready to hire an entire team or if you have a project that is large enough to need our help, we can help you design your strategy and implement the solutions and technologies you need to manage, understand, and leverage your data.
Customer analytics helps us predict customer behavior and make key business decisions. We transform big data into valuable information and business action.
Data analysis leads us to solve problems that include:
- Basket analysis and product recommendations
- Fidelity enhancement and Churn rate optimization
- Lifetime value segmentation
- Forecasting of sales
- Cross-selling and upselling
- Clustering-driven discovery
Most organizations hold that people are their most important asset.
Just like in other areas of business management, a growing number of organizations are using data and analytics to make decisions.
Furthermore, we have an increasing amount of data about what people are doing that can actually be used for decision-making: performance ratings, salaries, attrition rates, etc.
People analytics uses data and analytic tools to make better decisions about how we manage people. Business leaders can make decisions about people in their organization based on a deep analysis of data rather than the traditional methods of personal relationships, personal experience, and risk avoidance.
There is an obvious reward in people analytics: if we can manage our people better, it will certainly benefit the organization.
We work with companies and organizations to better understand their employees and what motivates them in their work.
We apply Big Data, People Analytics, and semantic analysis techniques to internal and external networks to analyze the current situation, and we create an atmosphere of collaboration in the company to increase levels of happiness.
Voices of the Customer, the Employee, the Citizen, and the Patient
It is vital for companies to understand the feedback that their customers -both current and potential- express through all types of channels and touchpoints. That is why brands are extending their VoC initiatives to a new territory of unsolicited and unstructured content: comments on surveys, call center verbatims, social networks, etc. Only automatic processing enables this analysis with the the necessary characteristics of quality, volume, response time, and homogeneity.
With MeaningCloud we are currently extending the technologies and solutions that analyze interactions in natural language to the areas of the Voice of the Employee, Voice of the Citizen, and Voice of the Patient.
Voice of the Customer (the same as Voice of the employee, the citizen and the patient) enables us to understand what a customer (real or potential) thinks about a product or service. Traditionally, this kind of analysis has only been based on structured data.
Mobile data analytics
Sngular has its own technology for collecting, storing, and processing data used by mobile applications. By integrating our SDK into an app, we get valuable information about each user. Our technology has been optimized to retrieve the most relevant data without breaching confidentiality.
Our SDK leverages data from half a million active users that provide the basis for continuous data analysis and optimization. Our SDK reveals data that Google Analytics and other analysis tools simply can't show, such as:
- Applications installed
- Amount of time each application is used
- Data use of each app
- Times when apps and devices are used
- Number of applications opened
- User demographics
- Operator Information
- Brand and model of devices
- Screen size, time the screen is on
- Operating System version
We can get up to 220 KPI/indicators.
Semantic search and publishing
Semantic technology allows us to "understand” the structure and the meaning of digital content, which facilitate search, integration, production, and publication tasks. This technology can be applied to all business activities of media and publishing companies. The process of creating and managing "smart content" is often known in the industry as "semantic publishing" or as "content enrichment."
Energy consumption optimization
Appropriately configuring energy-consuming devices makes it possible to optimize the energy costs of any building or facility. Sngular has broad experience in the application of analysis techniques and data mining in this field (among others). See CIUDAD2020