Showing posts with label #Live SAS web Training. Show all posts

Tuesday, 30 May 2017

Learn SAS® Visual Analytics by Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

SAS Visual Analytics (VA) is web-based environment that supports several applications. It allows you to create beautiful, interactive dashboards or reports that are immediately available on the web or a mobile device.
Benefits of Using SAS Visual Analytics:
Using SAS Visual Analytics, users can enhance the analytic power of their data, explore new data sources, investigate them, and create visualizations to uncover relevant patterns. Users can then easily share those visualizations in reports. In traditional reporting, the resulting output is well-defined up-front. That is, you know what you are looking at and what you need to convey. However, data discovery invites you to plumb the data, its characteristics, and its relationships. Then, when useful visualizations are created, you can incorporate those visualizations into reports that are available on a mobile device or in the viewer.
SAS Visual Analytics provides users with the following benefits:

enables users to apply the power of SAS analytics to massive amounts of data
empowers users to visually explore data, based on any variety of measures, at amazingly fast speeds
enables users to share insights with anyone, anywhere, via the web or a mobile device

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Sunday, 28 May 2017

The widening spectrum of Data Science Roles

The development and use of self-service analytics has brought with it a new role in many organizations: the citizen data scientist. But is this genuinely a new role, or is it just a new name for a business analyst?

Is this a definition thing?
Business analysis is broadly defined as analyzing the business, including processes or systems, and putting forward solutions. I would say that all those were part of the citizen data scientist’s role, which suggests that it may be the term alone that is new. But I think there is one key difference: citizen data scientists have to do all these things, but these functions are not at the core of that person’s role.

In other words, citizen data scientists are not actually data scientists. Instead, they are business users who understand and can do analytics. They are able to use data but that is not their primary role in the business. Uniquely, they bring together knowledge of the business, and some understanding of analysis. The best citizen data scientists know the business, and are not afraid to get their hands dirty with data. They use the right tools to generate insights that can bring value to the business. It is, however, up to the business to evaluate the insights.

The role itself has arisen as we all become more data-driven. At the same time, a shortage of dedicated data scientists has meant that there is a lack of capacity to crunch numbers and produce insights. In other words, citizen data scientists have developed out of necessity. It is, perhaps, best described as a hybrid role, but is certainly filling a gap in many organizations.

The enablement journey But as citizen data scientists are not dedicated data scientists, they need more support to enable them to perform their role successfully.
First of all, they need suitable self-service analytics tools to enable them to manipulate data and achieve information and insights. These tools need to be simple to use, but with a wide range of analytical options available. Citizen data scientists may also need training and support in using these tools, at least initially.

The next requirement is suitable data. This means from multiple sources, because insights seldom come from rehashing a single source, and the data also need to be clean and high quality. Finally, but perhaps most importantly, citizen data scientists need sponsorship within the organisation. In practice, that means permission to experiment and try things out, just as dedicated data scientists do. They should not be limited by organisational culture.

Indeed, it is entirely possible that embracing the role of citizen data scientist within the organisation could bring about some very positive organisational change. The type of people who tend to gravitate towards these roles are experimenters and innovators, and by definition, they are not very good at ‘business as usual’. They are therefore often disruptive, in a good way, changing the culture and driving positive organisational ‘adjustments’.

Substitution or complementarity?
Citizen data scientists have been suggested as the answer to the shortage in data science skills. In my view, however, they cannot entirely replace data scientists. It even seems likely that the rise of citizen data scientists will lead to new roles for data scientists: providing support, but also enabling them to spend time on more complex analysis, adding significantly more value to the organisation. It makes sense that some of your most expensive and highly skilled resources should not be wasted on basic analysis, but instead, used to add real value that only they can add.
As cars became simpler, chauffeurs ceased to be necessary for most of us. But that did not make us all Formula 1 drivers. In the same way, the rise of citizen data scientists does not mean that there is no role for those with significantly stronger skills and greater knowledge and ability in data science.

A win-win situation In other words, the roles are complementary, rather than a substitute. Business users need support to enable them to explore data. But self-service analytics offers the opportunity for business users to explore data without being limited by a shortage of analytical and data science skills within the organisation.
At the same time, the existence of self-service analytics removes the chore of basic analytics from skilled data scientists. It frees up their time and capacity to enable them to get on with what interests them: highly complex analysis that will add significant value for the organisation.
Here you can find a fact sheet about SAS Visual Analytics, our self-service tool for the citizen data scientist.

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Friday, 26 May 2017

CAREER AS BUSINESS ANALYST WITH SAS Analytics : Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

WHAT IS SAS?

SAS is a technologies which gives various kinds of business solution Like business analytics, data analytics, Forecasting, reporting on basis of data.
Major industries like finance industries, banking sectors, retail sectors, telecom industries, government sector are using SAS for their business planning and growth.
It is a tool which gives end-to-end solutions for increasing business growth.
SAS is a one of leading analytical tool widely used to get insight of business which leads forecasting on the bases of data, which helps big corporate in taking decisions.
It achieves one of leading position across world since 1976.
SAS has the depth of resources to sustain excellence in product development and customer support.

Why is SAS career?

SAS gives wonderful career growth with combination of education like MBA, MCA, Bcom, Mcom, Engineering, pharmacy, Bsc, Msc, etc.
SAS solutions are used at 45,000 sites in 108 countries including 96 of the 100 FORTUNE global 500 companies to develop more profitable relationships with customers and suppliers.
Certification of SAS is globally valid across world.
Opportunity to work in major industries with high salary packages.
Multiple choices for multiple industries after SAS.
Opportunity to work at senior level profile like business analyst, SAS consultant, data analyst, SAS programmer, data manager & and many more.
World authentic market research company Gartner has ranked SAS No.1 for insurance domain.

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Thursday, 15 December 2016

SAS : Live Web Training by Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

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SAS Module	Days	Duration (Days)	Date	Time	Certification Attempts
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