We are in
We are present in the main sectors

Our objective is to know our clients’ business, and from that perspective, we offer them creative solutions created by determined and talentful professionals, experts in providing the adequate technology in each case:

Banking

Healthcare

Energy

Retail

Telecom

Banking

Pioneers in distributed computing (First grid in production in Spain) Indizen is specialized in calculation engines with complex models at its birth.

During the following 18 years of life we have collaborated with our clients by contributing our knowledge and experience in all Front to Back processes within the banking sector, from platforms for Quants equipment calculations to Information Systems design to all types of risk engines (Market, Credit, Counterparty, Liquidity, etc). Specialists in the implementation of systems, processes and engines for the harsh banking regulation of the last decade that has forced the refinement of calculations to minimize capital requirements. In terms of regulation we have actively participated (BIS I, BIS II, BIS III, RDA, X-VA , IM, Volcker, FRTB, SA-CCR, etc…) led by our team of AMC (Advisory & Management Consulting) and executed by the engineering talent that forms Indizen whether Quantia, BD, F&B, etc…
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As ‘early adopters’ and innovative company the bet of indizen in technologies, led us into the boat of the Big Data in 2014 of the hand of a young Hortonworks in Europe and a powerful Cloudera, and with the Swiss flag in question of technologies we participate of the making of contact of the sector of these technologies placing us as one of the principal players in the country, we have participated and designed the architecture batch, near-real time and finally real-time of the main banking actor in Spain that gave us the privilege of being one of the three suppliers recommended for the practice of Big Data in the group.

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Our experience in the big data ecosystem with Hadoop, spark, kafka, nifi, scoop, flink, etc… allowed us to create lambda and kappa architectures that “commoditize” the development of use cases simplifying their execution.
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Not being pleased with this situation and following the innovative spirit of Indizen through investment in talent in a natural way we made the leap to the use of Artificial Intelligence (AI) within the sector.

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Our expertise in models, the data revolution and the low cost of computing behaved like a petri dish within our laboratories to develop use cases to aid decision making, anomaly detection, behavior prediction and natural language processing making Indizen a professional in the art of Machine Learning (ML) and Deep Learning (DL) in our sector.
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With technologies such as fastText, tensorflow, pythorch and platforms such as jupyter, all accompanied by visualization tools such as Qlik, Microstrategy, PWBI, Kibana with elasticsearch.
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Another of Indizen’s bets is based on the change of infrastructure from on-premise solutions to cloud solutions.

The major vendors have obtained the approval of regulators to provide space capabilities, calculation and services in the cloud.

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Indizen has designed a solution based on an architecture that allows solving vendor lock-in problems with K8s, Terraform and Airflow. We managed to create an identical environment in a different cloud vendor in about 20 minutes, solving the problems of the banking sector, which has always been captive for the leading vendors in the market.

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Continuing with cloud environments, Indizen has been a partner of Salesforce for several years and is a reference in some of its clouds: One, Service, Marketing Cloud, Analytics or Einstein.
The Challenge
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Indizen’s challenge in the Banking sector is to continue leading step by step each new regulation or metric, technology and each new technological agent to maintain and attract the Talent that the company has demonstrated to its customers throughout its life.

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From Indizen we have set ourselves the objective of helping with our valuable proposals of the organization and processes, calculation engines and advanced analytics to help decision making within the field of Treasury, Risks and Capital making reality the digital transformation of our customers.

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The significant add of value accumulated over the last 18 years in such a complex and changing area as as wholesale banking allows us to extend our value proposition to other areas of economic-financial management that require increasingly sophisticated decision-making tools

How?
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We are experts and talent chasers who work in very specialized niches so that our services  fully cover the cycle of adoption of technical-functional initiatives within the process of the digital and regulatory revolution that is subjecting our customers.

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The way we perform this task located between business and technology is by giving our services

Healthcare

Artificial intelligence to achieve a more human service of healthcare adapted to the patient.
Chasing Value to Transform the Healthcare. We believe in Intelligence.
AI, big data analytics and IoT is accelerating the innovation landscape in value-based healthcare, resulting in improved health outcomes. But collecting and analyzing data is useless if the organizations are not looking into the future considering the value and usage of this information in the clinical workflow and patient care. Decision-makers must consider the tools needed to support future healthcare services and standards.

The Challenge

Digital transformation is transforming the provision of healthcare, by enabling the provision of accessible, affordable and quality healthcare to people. The future is a patient ocused healthcare.
Advances in AI have accelerated the innovation landscape, resulting in improved health services along outcomes whilst reducing the cost of providing healthcare. Currently AI is  enabling new possibilities in healthcare which were assessed as not feasible earlier.
The challenge is to build systems and services that would learn and understand data in order to assist health professionals taking better decisions based on insights and, in the other hand, give patients a more personalized healthcare experience adapted to their needs.
“where the knowledge of the patients through artificial intelligence, machine learning, sensorization and the automation of processes will allow a humongous analytical capacity to provide better and more intelligence services.”

How?
Some recipes to cook a new electronic health record (EHR) system that learns from data and with use.
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Automatizing the coding process based on the main standards (ICD-10-CM/PCS for diagnosis/procedures and ICD-O for oncology) in a real-time way using machine learning and natural language processing of clinical notes and discharge reports for billing and reporting. See CliniCoder solution for more info.
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Creating Smart Data by performing correlation, prediction and analytics on data sets like prescription, minimum basic data sets (MBDS), EHR, clinical trials, etc. using the most advanced Data Science techniques. For example, systems where the physicians can see similar patients (clustering) where one treats in given time, what comorbidities are present, what drugs are more prescripted, what tests, what analysis and makes some prediction about complications, re-admissions, associated conditions, time in hospital, etc.

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EHR that uses voice aidsto record medical patient  and generate a summary of the conversion in order to automatically generate  the report or the corresponding clinical note  and allowing physicians to review and validate in a final typing time.

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Using ontologies such as SNOMED in the user interfaces for introducing standardized data that allow systems to understand the semantic and the meaning of the data without the need of human interpretation, and this way enable the system to make decisions in an automatic and autonomous way. See CliniTerm solution for more info.

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Introducing AI inside the workflows and transactions so the systems can measure the performance and quality of the patient care at any given time, automatically analyzing the entire data set to provide information from which to draw conclusions and take the appropriate action. For example, introducing AI in the workflow for patient derivation from primary to specialized care by mean of a smart process that request diagnostic or analytical tests based on the report of a primary care physician, that optimally and automatically search for the gaps in the agenda and organize appointments without human intervention.

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Enabling systems to learn from data (concepts, descriptions and the clinical rules) using supervised machine learning and creating knowledge models that could help artificial intelligence to do its work.
Impact
Improved patient outcomes through broader, deeper data ingest, and analysis
Increased processing, throughput, storage, and administrative capabilities
Provide advanced analytics to improve diagnosis, treatment, and overall patient care
Link data from unlimited data sources
Enhanced operational and financial performance in healthcare facilities
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Reduction in data silos creating a central data lake
Energy
The Challenge
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The sector presents several differences compared to other sectors, specially because of the strong regulation and the limited capability to improve the income, since these are subject to current prices and consumption.

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Moreover, another particularity of the sector is the cost of the physical infrastructure that supports the  business operations entails. 

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This is the reason why the majority of actions are focused on the operations improvement, in aspects such as:

  • Energy networks optimization.
  • Service quality improvement and failure reduction.
  • Fraud detection.
  • Adequacy of power generation/purchase to consumption.
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The digital transformation of the sector has been oriented to the digitalization of networks, the exploitation of data, and the improvement of the experience of clients, for example, adjusting the supply to real individual consumption, or establishing actions that permits it to be an active element of the chain.

How?
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The main technical advance of the sector has provided the digitalization of networks, from the generation/distribution plants, to the concentrators and smart counters.
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This advance entails the generation of a huge quantity of data, not only in relation to the telemetry (it has gone from 12 measures a year to almost 10,000, multiplied by millions of customers), but also in the monitorization of the hole network itself.

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In this stage, the usage of Big Data technologies, along with the capability of data analysis (Data analytics), offers uncountable benefits to the energy companies, both distributors and marketers, allowing from the mere operative optimization, to predictive models of clients activity or to fraud detection.
Impact
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RELATIONSHIP WITH CLIENTS
Who are our client firms, and specially, where are they, what do they want, how and when do they want to be contacted?

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PREDICTIVE DEMAND
Infer temporal and seasonal trends in the demand for products in different locations. Additionally, the predictive capability allows to optimize the logistic systems and storage costs.
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PRICE OPTIMIZATION

In real time adjust the prices basing on the competitors and to the feelings related to the price offered by the organization.

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CROSSED SALE
Analyze the products susceptible to being purchased by the different client segments, being able to design personalized discount campaigns too.
Insurance
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The Challenge
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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
The Challenge
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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Retail
The great challenge for retail companies is to consolidate all the information that is currently available (internal and external, structured and unstructured) and to extract the business value from it, in order to have a comprehensive vision of their customers and to be capable of making strategic and tactical decisions that maximize results.
The Challenge

The great challenge for Retail companies is to consolidate all the information available today, internal and external, structured and unstructured, and extract business value from it with the aim of acquiring an integral view of its clients and be able to make strategic decisions and tactics that maximize results.
The consumer usually relates with brands from different channels (Social Media, Website, Call center, billing, claims…), it is fundamental to have a 360º view of this when communicating with the consumer so that he/she wont feel frustrated, and this way helping to get to know his/her interactions, as well as stablishing customer journeys that ease his/her interaction with the brand.
Everything above obliges us to dispose of infrastructures prepared to attend the new customer needs and anticipate the competence: data repositories, operations, communications, data science, analytics, etc.

How?
Our services for the Retail sector are oriented to offering our customers the business intelligence tools that allow them to get to know the competence and improve the relation with their clients.
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GETTING TO KNOW THE COMPETENCE AS A COMPETITIVE ADVANTAGE
Over time there is more and better online information related to the competitors´ products (prices, offers, promotions, brands, new products, etc.). The manner and in time disposing of this information is becoming a key aspect for stablishing the pricing policies based on the real-time knowledge of prices.

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IMPROVE THE RELATION WITH CLIENTS AS A LOYALTY ELEMENT

Understand, analyze the consumption patters and recommend the products that better fit with the lifestyle and health situation of the clients are basic aspects to improve the relation with them in both, the digital and actual environment.
For this purpose, we base on the following aspects that may improve the online stores of our clients:
The customer profiling according to the lifestyle and health situation.
Enrichment of the products catalogue with information about nutrition, health, etc.
Exchange of experiences and opinions with other client firms about the products of the shopping basket.

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BUSINESS BENEFITS

– Differentiation from competitors.
– Get to know the consumption patterns of the clients according to profiling, preferences and shopping basket.
– Recommend products based on their profile and nutritional characteristics.
– Extract the information from the data that may help to making business decisions.

Impact
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RELATIONSHIP WITH CLIENTS
Who are our client firms , and specially, where are they, what do they want, how and when do they want to be contacted?

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PREDICTIVE DEMAND
Infer temporal and seasonal trends demanding products in different locations. Additionally, the predictive capability allows to optimize the logistic systems and storage costs.

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PRICE OPTIMIZATION
Adjust in real time the prices basing on the competitors and to the feelings related to the price offered by the organization.

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CROSSED SALE
Analyze the products susceptible to being purchased by the different client segments, being able to design personalized discount campaigns too.
Telecom
The Challenge
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The expansion to new content and services capable of generating new business, the explotation of available data in order to increase income, as well as the decrease of clients´ rotation and operational costs, are the main challenges that the Telco sector is confronting nowadays.
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As new content and services are being created and delivered to clients, the operators need to have a better control and management of them, not only over the aspects related to the classic ERP/CRM processes, but also and specially over those that have relation to:

Multichannel
Clients and content segmentation
Users/ clients preferences
Recommendations
Social Media integration
Clients´ internal and external data integration
Digital marketing…

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Indeed, a new kind of “data ocean” that moves the new content and clients to improve the customer experience as a key differentiation factor.
How?
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In order to confront the challenges set by the market today and to help in reaching your business objectives, Indizen is able to provide you with the knowledge, experience and support in the implementation of Big Data technologies and architectures that allow the management of the prodigious quantity and variety of data to be treated; in the implementation of Analytic and Predictive Models that allow to obtain responses to the data due, anticipate trends, etc.; in the Data Science, to extract more knowledge from data (aggregations, junctions, filtering, data cleaning, statistics, data mining…) all of it applied to real cases:
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Salesforce optimization processes
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Potential markets identification
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Quality control and Clients´ available data enrichment
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Marketing oriented to provide better results, with higher acceptance rates and income
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Customer loyalty
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Proactive management of our clients’ firm experience and rotation
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Geolocation-based services
Impact
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IMPROVE RELATIONSHIP WITH CLIENTS
Through digital marketing and smart management of clients.
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IMPROVE OPERATIONS
Through monitorization and smart management of services and operations.
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CREATE BUSINESS FROM DATA
Create knowledge from data, both internal and external.
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UNDERSTAND, ANALYZE, PREDICT
Understand the past, analyze the present and predict the future.
Our clients
Contact us

Contact us and our team will get back to you as soon as possible:

(+34) 91 535 85 68

contacto@indizen.com

Avda. del Gral. Perón, 36 - 2ªplanta | 28020 Madrid

Calle Hilera, 14 | 29007 Málaga

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