Slideshow

Industrial Internet of Things: a case of Predictive Maintenance

At an important manufacturer of industrial equipments, Blue BI has realized a cutting-edge system of Predictive Maintenance, that combines together the themes of Internet of Things, Predictive Analysis and Big Data.


SAP_Smart_deviceInternet of Things

The case is about the need of a real-time connecting, monitoring and controlling of the operation data generated from on-board sensors of a worldwide installed base of industrial equipments.

 

SAP_Monitor_multi_screens Predictive Analysis

On the collected data, stored in a specific high-performance Datawarehouse, some statistical models have been developed to describe the equipment performances, predict future failures and optimize the maintenance activities.

 

Big DSAP Database_technologyata 

The appliances object of control produce a very high number of transactions which have requested a specific IT infrastructure allowing the extraction and loading of big amount of data, and at the same time having available in-memory capabilities to ensure high  performance computing.

 

The IT infrastructure has been based on SAP components: HANA (in-memory DB platform), Data Services (ETL tool), Business Objects (front-end for data discover & visualization), Predictive and “R” language.

This sample application of IIOT (Industrial Internet of Things) has allowed the customer to improve the whole after sales processes, saving on time & material costs and enhancing the customer service quality.

 

I nostri valori distintivi

Blue BI ha registrato in questi ultimi due anni un significativa crescita in termini di fatturato e clienti acquisiti.

La reputazione e competitività raggiunti da cui deriva questa crescita sono stati ottenuti grazie alla soddisfazione dei nostri clienti, che hanno potuto avvalersi di un partner caratterizzato da una serie di valori distintivi e differenzianti. Scopri quali.

The GeoMarketing approach according to Blue BI

GeoMarketing is the integration of geographical intelligence into various aspects of marketing. It allows the development of Business Intelligence systems that use the geographic parameters to make a more effective decision making and supporting the marketing activities of strategy definition, communication, sales, distribution and so on.

GeoM_home_3

But why the Geolocation is useful? What kind of solutions can be deployed and with which functionalities ?

Accordingly with several experiences made in the latest years, Blue BI may answer these questions as next described.

Why Business Intelligence with Geolocation ?

The usage of geo-referenced data belongs to evolution path of Business Intelligence & Analytics systems:

GEOM

 

In fact Geolocation enables  to add:

Value to the data:

  • Sales, Visits, Credit collection, Demographic data or external sources, with any KPI
  • Data integration and correlation from heterogeneous sources
  • Geolocation support with Gegraphical Information Systems (GIS)

 

Value to the processes:

  • Customer name creation/modification requests, for prospects as example
  • Real time creation/modification of sales objectives, customer visits, ……
  • Suport and improvement of the marketing strategy definition
  • Sales organization review and simulation

 

Value to the operations:

  • Visits plan download on GPS sytems
  • Geolocation services integration(e.g.: Google Maps/Earth, Street View, Itinerario, ecc..)
  • Web services integration: searches, information sharing, data banks, etc..

 

Which solutions can be adopted ?

Accordingly with the requirements, it is necessary to consider the right approach with the right solution.

Limited requirements can be achieved starting from simple analysis based only on Geo-referenced data, up to adopting a GIS (Geographical Information System) for more complex requirements, which are proper Business Intelligence environments for GeoMarketing, able to correlate digital maps with business contents.

If the first case can be brought back as an extension of the already existing BI, the second one consists instead in a BI system, with its own DB and a collection of specific functions, as an example:

  • algorithm developments to correlate quantitative data with cartographic data, taking advantage of the functional power of those Databases supporting the geographical dimension
  • isochronous  functions (e.g. by selecting a point on the map and given a travel time, the accessible area is mapped)
  • route calculation and GPS system integration
  • area of influence determination (e.g. demographic basin linked to sales analysis or sales forecast or market shares etc.)
  • drawing of polygons (e.g. by interpolation of external points for customers in catalogue by area manager, sales rep or other sales organisation units)
  • integration with legacy systems, such as CRM or order management, for address validation

 

Blue BI supports you in the choice and deployment of the most effective solution, coherently with the business requirements.

In order to semplify the choice of project altenatives and to facilitate the selection of the proper tool, Blue BI has also developed a predefined solution called BBI x GeoMarketing. Learn more.

Performance Management in the Life Sciences industry

Measure the strategy effectiveness in the pharmaceutical industry through the competences and solutions of Blue BI. Learn how it is possible to adopt “Analytics” tools to drive better decision making and performance management across your organization. 

The global growth of drugs demand and the establishment a new digital interaction channels are some of the challenges that the pharmaceutical industry has today to face in a increasingly complex market, characterised by a constant price pressure , R&D spending increasing and a regulatory environment always in evolution.

In this high competitive scenario, it becomes more and more essential to evaluate the effectiveness of one’s company strategies by means of advanced predictive and performance management tools in each business area: R&D, Finance, Sales, Marketing, Market Communication, Sales Force and others.

To achieve this is necessary to adopt Business Analytics tools and trusting in a industry focused partner like Blue BI, able to help the Life Sciences&Pharma organizations on the typical analytics areas such as:

  R&D / Clinical trials Analysis
 Planning & Forecasting / Sales Analytics
 Multi channel interaction / Social Media Analysis

 

Blue BI is focused in design, implementation and deployment of Business Intelligence & Analytics systems in several industries, with a specific experience in the pharmaceutical, numbering among its clients some of the most important national and international players.

Our expertise is composed from several distinctive assets:

  • Multi year field work experience, deep knowledge of the industry specific Business Processes and the corresponding analytics reporting needs
  • Several projects implemented in different contexts, among which:
    • Sales Forecast based on time series analysis and regression coefficient application
    • Sales Analysis: internal and external from IMS territory and national data
    • Sales Force Performance
    • Geo Marketing data integration and market research
    • Social media analysis
    • Analytic CRM – Sales Force / Field Force Effectiveness
    • Planning & Controlling
    • Logistics and Production
  • Preconfigured solution BBI x Pharma (Learn more)
  • Mobile Applications
  • Cloud computing services

Blue BI’s customers have been placed in the position to easily discover and share insights and make better decisions, capitalizing the internal information assets, rather than external digital multichannel data, by using innovative technologies for Big Data and “in-memory” computing. All this available on Mobile devices and through Software as a Service/Cloud Computing mode.

SAS Forum 2015

Blue BI sponsor at SAS Forum 2015

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