Category Archive: business analytics

Concocting Data with GIS

Concocting Data with GIS
 

In supreme and sophisticated geospatial realm, data have been predominant. Or, should I say it is the matured fosterling of Geographic Information Systems (GIS). Choose, whatever suits you; subject to whom you work for or what you need to work on. The meat and potatoes? To excel on location analytics, concentrate only on the best most current data.

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Take Small Steps With Big Feet of Business Analytics

Take Small Steps With Big Feet of Business Analytics
 

Do these following questions clog your mind?

I aspire to become a business analytics professional, but I don’t know what skills to possess?

I am sceptical; which training should I opt for in order to establish my career in the sphere of business analytics?

I am looking forward to switch my career into data analytics, but I don’t know which skills to imbibe for better prospects?

Answer: Yes, they do.

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Understanding The Core Components of Data Management

Ever wondered why many organizations often find it hard to implement Big Data? The reason often is poor or non-existent data management strategies which works counterproductive.

 
Understanding The Core Components of Data Management
 

Data cannot be delivered or analysed without proper technology systems and procedural flows data can never be analysed or delivered. And without an expert team to manage and maintain the setup, errors, and backlogs will be frequent.

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Power BI is The New Revolutionary Tool For Business! This is Why

Microsoft launched its Power BI tool quite some time ago now, and the way things seem to advance is pretty amazing to say the least. This is a great Business Intelligence and analytics tool and it seems it is only a matter of time before the Power BI becomes the tool of choice for Business Intelligence and analytical works in almost all of the foresighted corporations.

 
Power BI is The New Revolutionary Tool For Business! This is Why
 

This is a powerful BI tool now available in the hands of enterprises, who are looking to extract data from multiple disparate sources in order to derive meaningful insights from it. The tool offers unprecedented interactive visualization opportunities along with true self-servicing analytical capacities.

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Tax department leans on Big Data analytics to mark out multiple PAN holders

To plug tax loopholes, the income tax (IT) department will use Big Data analytics to track tax evaders by collecting financial information about them, such as – common address, mobile number and e-mail to establish relationships between their multiple PANs. The department with support from various private firms will analyse the voluminous big data available post-demonetisation for checking transactional relationships between PAN holders.

 Tax department leans on Big Data analytics to mark out multiple PAN holders
 

    • The Managed Service Provider (MSP), which the IT department plans to hire, will design and operate analytical solutions that will in turn help in collating data, matching it and identifying relationships as well as clustering of the PAN and non-PAN data, an official said.
    • The analytical solutions would help the department gather data from banks, post offices and other sources for linking of information and identification of duplicate details. It will also identify records with errors or other defects for resubmission.
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    CRACKING A WHIP ON BLACK MONEY HOARDERS WITH DATA ANAYTICS

    Tax officials are tightening up their ropes with improved Big Data analytics to crack a whip on hoarders of black money.

     

    • Under the bill for amending Section 115BBE of the Income Tax Act, transactions with unexplained deposits in banks will be taxed.
    • As per this amendment, tax officials can now tax people on such deposits at a rate of 60 percent (cess additional) as opposed to the previously determined 30 percent.
    • This new tax law is applicable from the 1st of April, starting this year!

     

    Cracking a Whip on Black Money Hoarders With Data Anaytics

    Cracking a Whip on Black Money Hoarders With Data Anaytics

    How are the Income Tax officials leveraging Big Data Analytics to curb black money?

    Here are the simple signals that showcase a rise of Big data analytics use and a more planned crack down on Black Money hoarding:

     

    1. The IT department is now increasingly becoming tech savvy, it is now making use of analytics tools to assess the personal bank deposits for an improved black money crack down action plan.
    2. The income tax officials are making use of Big Data analytics tools for the first time ever done in the history of the Indian economy, to further maintain a hawk’s eye affixed on the target of bringing down black money.
    3. This is a new venture and earlier such advanced tools were only employed on corporate tax assessments.
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    How to Append Data to Add Markers to SAS Graphs

    Would you like to create customized SAS graphs with the use of PROC SGPLOT and other ODS graphic procedures? Then an essential skill that you must learn is to know how to join, merge, concentrate and append SAS data sets, which arise from a variety of sources. The SG procedures, which stand for SAS statistical graphic procedures, enable users to overlay different kinds of customized curves, bars and markers. But the SG procedures do expect all the data for a graph to be in one single set of data. Thus, it often becomes necessary to append two or more sets of data before one can create a complex graph.

     

    How to Append Data to Add Markers to SAS Graphs

    How to Append Data to Add Markers to SAS Graphs

     

    In this blog post, we will discuss two ways in which we can combine data sets in order to create ODS graphics. An alternative option is to use the SG annotation facility, which will add extra curves and markers to the graph. We mostly recommend the use of the techniques that are given in this article for simple features and reserve annotations when adding highly complex yet non-standard features.

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    What Sets Apart Data Science from Big Data and Data Analytics

    Today is a time when omnipresent has a whole new definition. We no longer think about the almighty, omnipotent and omnipresent God when we speak about being everywhere. Nowadays we mostly mean data when we hear the term “present everywhere”. The amount of digital data that populates the earth today is growing at a tremendous rate, doubling over every two years and transforming the way we live.

    What Sets Apart Data Science from Big Data and Data Analytics

    As per IBM, an astounding amount of 2.5 Billion gigabytes of data is generated every day since the year 2012. Another revelation made by an article published in the Forbes magazine stated that data is growing faster than ever before today, and by the year 2020 almost 1.7 megabytes of new information will be created every second by every human being on this earth. And that is why it is imperative to know the fundamental basics of this field as clearly this is where our future lies.

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    Here Are 6 Ways Banks Can Avoid Data Breaches

    Hackers when combined with data breaches make a lethal combination for small banks. The recent attack on major Indian banks is a good example of why that should be necessary for banks.

     Here Are 6 Ways Banks Can Avoid Data Breaches
     

    When a major hack or data breach occurs small banks have a lot more to lose than the larger banks. They face a battle for climbing uphill to win back the lost trust of customers. And the component of customer trust is a core value proposition for small and medium sized banks. Moreover, they have a bigger shortcoming at their disposal rather than large financial institutions.

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    How are The Tweets of Donald Trump Faring For Him?

    We ran sentiment analysis with R

    A massive stir in the global political scenario piqued the interests of several data analysts, politicians and global onlookers alike with a revelation made by David Robinson, a data scientist. He recently revealed into the media an analysis of Trump’s tweets, wherein he figured that those that happened from an android device were done by the presidential candidate himself, but those that were done from an iPhone device were done by a campaign staff.

     

    How are The Tweets of Donald Trump Faring For Him?

     

    While many may not think too deeply about this minor information, the main distinguishing point about this revelation has something to do with sentiments behind the tweets. The android device based tweets from the candidate himself (Trump) use angrier, more negative words but the iPhone-based tweets tended to be more straightforward ones with campaign announcements and hash tag promotions; something that a simple campaigner with digital marketing and clickbaits in mind would do with their docile mannerisms. The news was initially reported by the Scientific American, PC Magazine, and the LA Times. In fact, David Robinson even gave an interview with Time Magazine about his deductions.

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