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Challenges of Dirty Data

We are working in a data driven world and are required to make data driven decisions. Now-a- days managers are regularly bombarded with loads of data via dashboards and reports.  As business tycoon Mr. Mukesh Ambani says, ‘Data is the new oil’ and as with oil, data also must be transformed to be of real value to the organization and in larger terms to the society.

The role of data scientist is in hot demand and they are constantly trying to make sense of data by building data models that can provide crucial insights necessary for organizations to grow and generate more value. However, the data professionals face many challenges that prevent them from building powerful models. According to a study conducted by Kaggle titled the “State of Data Science and Machine Learning”. One of the questions asked in the survey was, “At work which barriers or challenges have you faced this past year?” Following are the top results: Continue reading

Posted in Data Quality, MirketaInc, Salesforce.

Software as a Service (SaaS) takes root as Multi-Billion Dollar industry

According to SaaS Mag, with increased adoption specially of Salesforce, Software as a Service industry, is on a rise and is expected to be more than $130 billion industry by 2020. SaaS is referred to as a software distribution model in which a service provider hosts the application and makes it available for the customers over the internet. There are three main categories of cloud computing:

  • Infrastructure as a Service (IaaS)
  • Platform as a Service (PaaS)
  • Software as a Service (SaaS)

SaaS is similar to ASP (Application Service Provider) and on demand computing software delivery models.  The SaaS model where the provider hosts the client’s software and delivers it over the internet to an approved set of users is like ASP. The on-demand software model of SaaS refers when the provider gives clients network-based access to software. The source code of the application is same, and it is specifically created for SaaS distribution. When the new functionalities are to be rolled out, it is done for all users. Data storage again depends upon the type of agreement the provider has with the customers. Customers can opt data storage locally, in the cloud or both locally and in the cloud. Organizations can also integrate other software with SaaS applications using APIs.

Continue reading

Posted in Application Architecture, Application Security.