1 / 2

Impact of Data Science on Industry

Addend Analytics is a Microsoft Power BI Gold Partner based in Mumbai, India. Apart from being authorized for Power BI implementation Partner, Addend has successfully executed Power BI projects for 100 clients across sectors like Financial Services, Banking, Insurance, Retail, Sales, Manufacturing, Real estate, Logistics, and Healthcare in countries like the US, Europe, Switzerland, and Australia. Get a free consultation now by emailing us at kamal.sharma@addendanalytics.com or Contact us.

Download Presentation

Impact of Data Science on Industry

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Impact of Data Science on Industry Right now, data science is the most in-demand field. It is beneficial to not just the IT profession, but also whole industry sectors, because of the advantages it provides when dealing with complicated data. It streamlines your business operations, from hiring and onboarding through training (HR), product manufacturing, and overall financial management. Data Science helps businesses to continually improve their products and services to meet the demands of an ever-changing market. It ensures a steady flow of information about client behaviour, psychology, trends, and market developments, all while being extremely practical. The most appealing aspect of this subject is that it allows for the mining and assimilation of data from a variety of sources and third-party platforms, including social media, making true peeping into client behaviour easier.

  2. Data scientists must be adaptable in order to comprehend, assess, and analyse data over its full life cycle. They should be able to use that data to create innovative business intelligence solutions for their clients. Analyzing and processing data are important in the beginning stages, but as expertise builds, a Data Scientist must be able to deliver insights in business indicators to the customer. Skillsets for Data Scientists – Understanding the fundamentals requires the development of certain skills. It is mostly statistical and scientific in nature. Math, financial, and statistics knowledge are needed. Various tools for data mining and data analysis like SQL, Power BI, Azure etc is a must. Understanding the purpose of data and its methods requires academic background in programming and coding languages. Data Scientists are frequently required to grasp and give business insights to the associated stakeholders; hence the focus should change from technical to functional skillsets later in the phases. This is an important moment in your career since assisting a customer in reaching a choice adds value. Addend Analytics is a Microsoft Power BI Gold Partner based in Mumbai, India. Apart from being authorized for Power BI implementation Partner, Addend has successfully executed Power BI projects for 100+ clients across sectors like Financial Services, Banking, Insurance, Retail, Sales, Manufacturing, Real estate, Logistics, and Healthcare in countries like the US, Europe, Switzerland, and Australia. Get a free consultation kamal.sharma@addendanalytics.com or Contact us. now by emailing us at

More Related