Enterprise Data Management and Monetization

Data is one of the key of future business models and to a next-generation Customer Experience.
Without accurately managed data, value remains hard to build. Our data management services will help you know govern, manage and access your data to unleash its value for your whole organization.

Data Management Strategy: Organization, Use Case, Governance.

Keeping a customer is always cheaper than obtaining a new one

In the actual economic context, companies focus on their customers and how to increase their revenue from them.

The individual behaviour of the customer is scrutinized, from the upstream period to the purchase itself but also during the use of the product or service which he or she buys.

Digitalization makes it possible to collect this data, which is mainly interesting to customize the customer relationship.
But why not leverage this available data and use it like a new growth driver? For example, a telecom operator or a connected service provider can use the geo-localization of his customers to build a matrix of the journeys of the population corresponding to its business segments. Next they could resell them to air transport actors who could use them to optimize the number of aircraft, the daily frequency of the flights, the number of available seats, etc. There are many other examples. It is necessary to know what to make of this data, how to analyze it in a relevant way and transform it to serve the company business or take advantage of it to create revenue.
A world study shows that more than half of companies recognize that Big Data became an engine of growth, which is as precious to them as their existing products and services. About 80% of these companies think that the value will come from using this information in real time.

TnBS can offer you the following services:
– To define and to coordinate the directions of the company around the same vision.
– To drive the choice and the implementation of the technology best suited to the strategy of your company

Whatever your domain of activity is, based on their proven method, TnBS consultants will help you identify the use cases most suited to your organization, in a few workshops. This scoring of use cases takes into account the organization, business expectations, data availability in the information system and their impact on the existing processes.

An 18 months roadmap of use cases is generally necessary to implement a well-balanced Big Data project that can give quick results through tools of virtualization to improve the company’s performance or customers’ satisfaction.

Let us talk

Data Virtualization Implementation

After painfully building a new data warehouse and Business Intelligence system, users’ business acceptance can remain thin. We all had this experience.

The implementation of a Big Data platform should have considerably changed data warehouses, but the Data lake has become a Data Swamp, where it is difficult to expose the right data to the final customer.

Data sources continue to proliferate despite the desire to centralize, and users always ask for more flexibility and agility. This is incompatible with traditional methods of data consolidation. Governance becomes complex, and systems of ad-hoc analysis and excel files multiply.

Data virtualization was born to counter this typical pattern. The keys of this concept are agility, speed and the exposure of data without replication. With sophisticated technologies of implementation, data virtualization is a technical enabler allowing you to quickly introduce a data governance solution. A centralized team identifies which data has to be exposed, under what model and to what population. It implements this exposure in hours instead of weeks.

The IT team is then able to answer requests and works hand-in-hand with the business team to iteratively build an exposed data model that is more and more complete. By using the existing data warehouses, Big Data, systems sources, APIs, web pages and all scattered files in your Information System, data virtualization makes it possible to simply, uniformly and safely expose this data to your users or your application.

We can guide you towards the implementation of this enabler. Let us convince you with a Proof of Concept in few days, to completely change your way to manage data exposure

Let us talk

Maturity Assessment Of Your Data Management Program

The implementation of a Data Management Maturity approach can help a company review its data management capacity.

A DMM shows the way forward, the cost and the associated ROI, to go from an operational use of the indicators to really leveraging the collected data. With this evaluation you will better know how to position yourself compared with the best practices of your field and you will have a clear view of quick wins and action plans to implement to quickly monetize your data in total compliance with RGPD.

There are many D.M.M methods and they are not always suited for all companies and their business uses cases. There is no “one size fits all” and the choice of methodology and its implementation can be complex.

TnBS offers to accompany you in the implementation of a D.M.M approach based on the expertise its consultants have obtained during many professional missions. We offer you a clear customized methodology, on demand, to reach a clear and structured vision of your data management along the following lines:
– Strategy and Use Cases: to determine the added value and which business case to build.
– Governance: What are my data sources? Who is the owner? What is my data business model?
– Platform and Architecture: From the Data lake to the quality of the data, does your organization efficiently manages the stream of data to be analyzed.
– Organization and Skills: Do I have the right organization to treat my data? Is there a Cross-Functional structure? Do I have the right skills in my entities?
– Process supports: Configuration management, risk management, quality insurance … Does the company have the right tools to perform this management correctly?

It is useless to talk about Big Data if a company cannot manage its “little data”. Let us help you review your situation and accompany you towards a first-rate management of your data.

Let us talk