Advanced Analytics Services
We help our customers take advantage of modern Advanced Analytics tools and techniques in a pragmatic, to-the-point fashion.
This could be done either as an extension of your existing Data Warehouse infrastructure or as a standalone data science project.
At the beginning, there is a vague question and an uncertainty of what is possible to do using Advanced Analytics to improve your business. It’s not clear if the data available, if the objectives are realistic and if to embark in a data science project is worth the effort. During this stage we provide you with use cases that relate to your business domain and make an initial assessment of your data assets.
Also called “data plumbing”, “data mungling”, “data cleaning” or even “data transformation”. Between 50 and 80 percent of a data science project is spent getting, cleaning, tidying, transforming and preparing the data. Real-life data is very messy, noisy and ugly. We know how to handle it.
We explore the data to get useful insights. This means presenting and plotting the data in a variety of ways to extract patterns and test assumptions. We leverage our domain knowledge your own business knowledge to make sure we understand what we observe. We know the main tools of the trade, both open source and proprietary.
We build, test and validate models for classification, regression and clustering tasks, amongst others. We chose the actual machine learning algorithms for the model development. When a problem is too complex, it is sometimes necessary to craft an algorithm or to combine several ones to get optimal results. In contrast with the theoretical modeling aspects, we care about feasibility and simplicity. Sometimes it is not realistic to deploy an algorithm to a production environment, even if it is very good.
Once a model is validated and an algorithm is implemented, we need to deploy it to get actual results. It can be a recommender system or an analytics backend, or a REST API. We help you make the best use of it as a data product and integrate it into your environment.
We are technology agnostics, but embrace standards and promote Open Source tools. Here is a sample of tools and techniques we use in our data science projects.
R, Python, Rapidminer, Weka
R (lots of packages), Python scikit-learn, Vowpal Wabbit, Apache Spark MLlib, H20 (API/Sparkling Water), Apache Mahout
.R/Python standard packages & modules Tableau, Apache Zeppelin, iPython, Spark notebooks, Microsoft PowerBI.
We provide a flexible remote support and advisory for your data infrastructure with no strings attached. Check out our Database Infrastructure and Big Data Infrastructure pages for more information on the technologies we support.
This could be a critical performance issue, a technical question, a coding question, a security incident… we are there to help.
Contact us for more information on our support plans.
Strategic & Management Consulting
Aleph Technologies has a strong expertise in technology domains such as database and big data, however, this expertise comes in pair with business experience over the years supporting projects and customers in a range of business domains such as Electricity & Utilities, Telco, Healthcare, Public Services, Media and Internet. It is therefore with confidence that we can advise our customers in the following areas :
Infracture Assessment & Evolution Advisory
How well the technology in place does support the business objectives ? How well does it age out ? How reliable is it under increasingly demanding business requirements ? It’s worth the money sticking with vendor X ? What if I migrate to solution Z ? We make an assessment of your existing data infrastructure and align it with your business objectives. We work together to establish a roadmap towards an infrastructure that better support your business objectives.
To do this, we help you get a view of your data landscape by identifying trends in volumes and KPI’s. With the right set of metrics we align with your business goals to make sure your infrastructure will be able to support them. We provide you with advise to upgrade your infrastructure and/or seek for technologies more apt for your future situation. We make an impact assessment of changes you’d require and help you estimate the risks involved.
As technology agnostics, we focus on your requirements and goals, not on particular vendors. We master propietary database technologies as well as open source ones and we know which kind of infrastructure works well with which workload.
Data Protection and Privacy Advisory
Are you ready for the EU General Data Protection Regulation going to be implemented quite soon, 25 May 2018 ? Have you identified sensitive data across your data infrastructure ? Have you identified potential data breaches ? Do you know how to implemente technical measures to comply with EU GDPR ? We help you comply with EU GDPR and avoid your company to face potentially high penalities in case of non-compliance.
We team with your as technical experts to implement technical solutions in order to get your compliant with GDPR.
Key GDPR Data Security Requirements
Security Risk Assessment: Controllers must carry on a Data Protection Impact Analysis on sensitive Personal Data and have to provide evidence that Personal Data is safe.
GDPR provides a number of techniques to prevent security attacks.
- Encryption: core technology to ensure data is not made accessible to unauthorized parties.
- Anonymization: complete obfuscation of data.
- Pseudonymization: minimize the linkability of data with the actual identity of data subjects.
- Data Minimization: data collection and retention must be minimized to the strictly necessary.
- Access Control: GDPR recommends measures at two levels, namely,
- Privileged users having access to Personal Data must be scrutinized to avoid breaches due to compromised accounts.
- Fine-grained access control to Personal Data ensures data is accessed only for a specific purpose and within a well-defined process.
GDPR not only imposes that all activities on Personal Data must be recorded, it also recommends a centralized audit management by the Controller officer. Moreover, alerting mechanisms must be in place to notify the controller in case of unusual activities on Personal Data.
How do we help you ?
We help on each of the areas discussed in the GDPR. Each of the task and techniques listed below require different tools and technologies depending on your actual infrastructure. We have extensive experience with the security features offered by the major players in the database and data platform ecosystem and we can help you with these concrete aspects.
- Personal Data identification
- Access, role and privilege analysis
- Security configuration analysis
- Encryption of data and data transfers
- Anonimyzation/Pseudonymization of Personal Data
- Personal Data Access Control
- Audit implementation and centralization
- Audit event notification implementation
Risk Management Advisory
Is your data at risk ? Is your data backup and recovery strategies in line with your business contingency plan ? Is your contingency plan sound and does it cope with new technologies added to your landscape ? Is your data leakable ? We can provide you witn an independant and expert advise on this important and often overlooked topic. Remember : your data is your most valuable asset, take good care of it.