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Hidden Insights

Michela GuerraOctober 10, 2017 0

We have moved: goodbye Bright Data, welcome Hidden Insights

Nearly two years ago, we launched the Bright Data blog platform to serve the Central East Europe region of SAS. It was designed to enable us to discuss and share ideas with customers in the region, around issues such as analytics, customer intelligence, risk and data management. And, indeed, Bright

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Data Management

data quality monitoring

Łukasz Leszewski

Łukasz LeszewskiSeptember 20, 2017 0

Data quality monitoring – step 1.

You have to be able to trust the data that you are working with, whether it’s data processing or analysis that you are involved with. And there is a strong correlation between that trust and data quality. Is it possible to determine data quality without monitoring mechanisms?

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Analytics | Data Visualization

data visualisation

SAS PolandAugust 23, 2017 0

Data Visualisation Standards

INTERNATIONAL BUSINESS COMMUNICATION STANDARDS is an organisation defining international standards in business communication and presenting proposals relating to designing easy-to-understand business reports and presentations.

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Analytics

Joanna GolaAugust 2, 2017 0

10 Commandments of Applied Econometrics or how not to sin when working with real data – Part 6

In the fifth post in this series we discussed the issues of the use of data mining and machine learning techniques. Today, I will present other commandments related to being prepared to compromise when implementing solutions based on the theory of statistics and being mindful in the interpretation of statistical significance

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Analytics

soccer innovation

Federico AgugginiJuly 27, 2017 0

The midfield of innovation

July 16, 1950, Rio de Janeiro. Jules Rimet, the creator of the soccer world championship, walks through a long dark subway that runs under one of the most famous soccer fields in the world, loaded with poetry, energy and the magic of football: the Maracanà. Above his head, he can

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Analytics | Machine Learning

Joanna GolaJuly 5, 2017 0

10 Commandments of Applied Econometrics or how not to sin when working with real data – Part 5

In the fourth post of the 10 Commandments of Applied Econometrics series we discussed the issues of keeping the solutions sensibly simple and applying model validation. Today, I will present another commandment related to data mining techniques. Use data mining reasonably. In the econometric community, data mining is a controversial and highly emotional

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Data Management | Risk Management

Chrysostomos KridiotisJune 28, 2017 0

The data governance path to AnaCredit

Many of the regulations coming into effect after 2010, are the result of the financial crisis that has significantly re-shaped the financial industry worldwide and especially in Europe. One of the major projects that has been undertaken by the statistics team of the ECB, launched in 2011, is the setup

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Analytics

Joanna GolaJune 7, 2017 0

10 Commandments of Applied Econometrics or how not to sin when working with real data – Part 4

In the third post of the 10 Commandments of Applied Econometrics series we discussed the issue of data exploration. Today, I will present the next commandments: keep the solutions simple and use model validation. Keep the models sensibly simple Striking the right balance between simplicity and sophistication: the models created should be neither

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Risk Management

Model Risk Framework

Spyros Maltezos

Spyros MaltezosJune 5, 2017 0

Model Risk Regulatory Framework: challenges to managing model risk

At this point in time, Model Risk Management stands at the forefront of risk management for many of today’s financial services organizations. The majority of financial institutions are in the process of developing Model Risk Management frameworks to mitigate model risk and to become more comfortable with their models. However,

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Machine Learning | Risk Management

Machine learning

Chrysostomos KridiotisJune 2, 2017 0

Machine learning for risk: more changes ahead

Approaches to risk assessment and management are changing. There has been a radical alteration in the nature of risk in many sectors, in that the biggest threat that many companies now face is from disruption of their business model by start-ups. This has meant that traditional approaches to risk—the appointment

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Analytics | Internet of Things

wearable device

Federico Alberto PozziMay 31, 2017 0

Extract emotion through a wearable device? Yes you can, thanks to analytics

Most purchases are driven by our emotions as the consumer's emotional experience is crucial in buying choices. And so we decided to exert the powerful SAS algorithms on a dashboard born in the beginning as a simulation of a remote control system in the healthcare field for home-based patients. The

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Analytics

Joanna GolaMay 4, 2017 0

10 Commandments of Applied Econometrics or how not to sin when working with real data – Part 3

In the second post of the 10 Commandments of Applied Econometrics series we discussed the issue of embedding statistical tools in the context of business problems. Today, I will present another commandment related to exploration and inspecting the data.

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Machine Learning | Risk Management

risk management

Tony CartiaApril 28, 2017 0

Taking risk management to a wider audience within the business

Organizations of all kinds operate in uncertain environments with challenging natural, political, socio-economic and cultural influences. These influences may affect their ability to meet their objectives. The uncertain economic situation of the past few years is a clear, real and pragmatic example of the effect of this uncertainty, something known

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Analytics | SAS Events

Emanuela Sferco

Emanuela SfercoApril 26, 2017 0

The emotional landscape of data science

Neil Harbisson is completely colour-blind. He sees the world in greyscale. But that does not mean that Neil does not experience colour. Since 2004, he has worn an electronic ‘eye’ that turns the colours into sounds by wavelength. He now experiences the world as a series of tones. He dresses

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Analytics

digital transformation

Antonio Autorino

Antonio AutorinoApril 24, 2017 0

Adopting and embracing digital transformation using win-win

Regular readers will be aware that in my last post, I made the case for a win-win approach for mature organisations to successfully deliver digital transformation. I think there are many ways we could explain this. Established organisations infrastructure may be old, or their work processes may be complex and

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Fraud & Security Intelligence | Risk Management

anti-money-laundering

Spyros Maltezos

Spyros MaltezosApril 21, 2017 0

Financial Crime Risk Management - Taking Action to Support Anti-Money Laundering

In my first article, I looked at the main areas covered by the 4th Anti-Money Laundering (AML) Directive from the EU. This post covers the amendments to that directive introduced by the 5th AML Directive, and suggests how organizations can address the requirements of the two directives. The 5th AML Directive:

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Analytics

Joanna GolaApril 5, 2017 0

10 Commandments of Applied Econometrics or how not to sin when working with real data – Part 2

The first post of the 10 Commandments of Applied Econometrics series discussed the importance of the use of common sense and understanding of the theory of econometrics in data analysis. Today, I will present the next two commandments related to putting the statistical tools in the business context of a problem. 2. Avoid type

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Advanced Analytics | Data Management | Internet of Things

Andrea NegriMarch 23, 2017 0

Data quality and data preparation in self-service

The rise of self-service analytics, and the idea of the ‘citizen data scientist’, has also brought a number of issues to the fore in organizations. In particular, two common areas of discussion are the twin pillars of data quality and data preparation. There is no doubt that good quality, well-prepared

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Analytics | Data Management

Gianluca MenconiMarch 22, 2017 0

Does age matter? A question of analytics maturity

Does age matter? Perhaps not, but maturity certainly does. The level of analytics maturity, in particular, makes a big difference to the options open to companies, and the strategies that they can adopt to get best value from analytics. A model of analytics maturity I like Thomas Davenport’s model of

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Analytics

Antonio Autorino

Antonio AutorinoMarch 21, 2017 0

Win-win model is the key to digital transformation of companies

Innovation and transformation of established companies needs to be through a collaborative model. Done right, it can be profitable for all players. I have always thought that human evolution and development is one of the most interesting and challenging processes in the world, especially in terms of innovation and investing.

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Fraud & Security Intelligence | Risk Management

Spyros Maltezos

Spyros MaltezosMarch 20, 2017 0

Financial Crime Risk Management - The Current Regulatory Regime

Questions about the regulatory regime related to the 4th and 5thEU Anti-Money Laundering (AML) directives are among the most frequent ones we have been getting this quarter. There can be no question that businesses are responding to increased regulations and in turn, driving demand for anti-money laundering technology to support

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Fraud & Security Intelligence

visual investigation

Stavros StavrinoudakisMarch 13, 2017 0

Visual Investigation: the emerging role for Audit, Compliance, Safety & Security, Health and Financial Crime Departments

From national security agencies, law enforcement organizations looking to terrorism and criminal activities, internal security, audit and compliance departments, to hospitals and public health organizations guarding against disease outbreaks, there are many common needs and constant challenges, e.g.: Detect an event of interest in the early stages. Investigate suspicious events

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Fraud & Security Intelligence

Stavros StavrinoudakisMarch 3, 2017 0

The last part of the blog post series “A practical guide to tackle auto insurance fraud” – Part 7: Operational Processes and Automated Controls

This is the seventh and last part of the blog post series “A practical guide to tackle auto insurance fraud”. In the first six articles of the series we drilled down to: Data Management and Data Quality as the basis for fraud detection analytics. Business Rules and Watch lists techniques

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Analytics

Joanna GolaMarch 1, 2017 0

10 Commandments of Applied Econometrics or how not to sin when working with real data

It is no secret at all that there is a world of difference between theoretical and applied econometrics. Every analyst, as a practising econometrician, experiences this moment in their processional career – usually at the beginning of it – when the theory acquired during their academic time clashes with the practice. They

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Data Management

Hana KvartováFebruary 27, 2017 0

When I Meet the First Slovak Chief Data Officer

What to watch out for when chief data officers begin to appear in our country Recently and for the first time, I met someone whose business card title read ‘Chief Data Officer’ at one of our customer’s places of business. It wasn’t in Slovakia, but I am convinced that it

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Analytics | Fraud & Security Intelligence

Fraud Investigator

Stavros StavrinoudakisFebruary 9, 2017 0

A practical guide to tackle auto insurance fraud - Part 6: Fraud Investigator’s Interface

This is the sixth of the seven parts of blog post series “A practical guide to tackle auto insurance fraud”. In the first five articles of the series we drilled down to Data Management and Data Quality as the basis for fraud detection analytics, to Business Rules and Watch lists

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Data Management | Internet of Things

Federico Alberto PozziFebruary 3, 2017 0

Is data science keeping pace with product designers' needs?

Experience design is not just like a standard advertising campaign or an online app, but rather a strategy to keep customers engaged with a brand through impactful interactions. It means that every product and service is designed to offer a delightful experience; the packaging, mobile app, web and print ads

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