Explore the Future of Data, Gen AI, Analytics & Career Growth with Ivy's Insights

What is Data Visualization? It is the presentation of the data in pictorial form. Data when presented in form of graphs rather than tables helps us to get the insights quickly. Patterns, trends and correlations which might go undetected in tables can be easily recognized through the data visualization tools. The most commonly used Data Visualization tools
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Start ups is the buzz word in “Digital India”. Combine the 2 buzzing ingredients, Analytics and Start ups, what you get is a much sought after recipe of success.   Here is the list of the Data Analytics start ups in Bangalore that you can look at: 1. Dealize.me Recommendation Engine with Big Data Analysis of Consumer Behaviour http://www.dealize.me/ 2. Compassites
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Accenture - Chennai http://www.accenture.com/us-en/pages/index.aspx ttp://www.accenture.com/in-en/strategy/analytics/Pages/index.aspx Management Consulting, outsourcing, advanced applications across various industry verticals – Analytics Cognizant (GDC) – Chennai, Cochin http://www.cognizant.com/enterprise-analytics Big data analytics, customer analytics, risk, operation analytics – consulting Datamatics – Chennai, Puducherry http://www.datamatics.com/ Financial, healthcare insurance, retail, manufacturing Global Analytics - Chennai http://www.global-analytics.com/ HCL Technologies - Chennai http://www.hcltech.com/ http://www.hcltech.com/enterprise-transformation-services/business-analytics-services Advisory/ Support - Business Analytics, BI, Big Data Latent View - Chennai http://www.latentview.com/ Analytics consulting, Big Data McKinsey Knowledge Center (McKC)
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    Updated - 26th of June 2019 In a previous blog, we covered the use of predictive modelling techniques to predict future outcomes. In this post we cover some of the common Statistical models in Predictive Analytics. The techniques used differ for various applications. However, there are some fundamental statistical techniques, mathematical algorithms and neural network systems
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From being an obscure backstage performer to emerging as the hottest technology-in-use, personalization has come a long way. Deployed across multiple platforms, devices and on-site sensors, used by small digital marketers to ecommerce giants like Amazon, personalization has become the mantra of every business performing in the digital space. While Google may have kick-started the process
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Absolute Data http://www.absolutdata.com/ Data science, Decisions engineering Accenture http://www.accenture.com/us-en/pages/index.aspx http://www.accenture.com/in-en/strategy/analytics/Pages/index.aspx Management Consulting, outsourcing, advanced applications across various industry verticals – Analytics Affline Analytics http://affineanalytics.com/ Retail, eCommerce, Banking, Financial Blue Star Infotech Business Intelligence and Analytics Pvt. Ltd (formerly Activecubes Solutions ) http://www.bsil.com/ BI & Analytics BRIDGEi2i Analytics Solutions http://www.bridgei2i.com/ Marketing, Risk, Supply Chain, Sales Capillary http://capillarytech.com/ Retail, Customer, Mobile Social Cognizant (Global Delivery Centre) Big data analytics, customer analytics, risk, operation analytics - consulting Cytel http://cytel.co.in/ Clinical &
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With most businesses moving part of their operations to the cloud, analytics and BI in the cloud have emerged as the new frontiers of the service model. From IBM, Oracle, Hewlett-Packard and Salesforce , to start-ups like Ideal Analytics, Cloud Analytics is the latest trend in the delivery of enterprise analytics. Today, apps and data are increasingly being
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Analytics aims to understand the ‘why’ if you lose a customer. Predictive analytics moves beyond this to prevent you from losing a customer before it happens. Predictive analytics supports insight, not hindsight. You discover meaningful trends and patterns in the data, and make predictions of unknown future outcomes. Using real world models that leverage mathematical and/or statistical
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It’s all about data and data, everywhere. Who needs the data, who has the data, and what is done with the data. The demand for data is such that recent times have witnessed an unprecedented data explosion as detailed consumer profiling for business advantage has become the norm. A 2014 Infographic - Erik Fitzpatrick  As a data practitioner, you
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Absolute Data - Gurgaon http://www.absolutdata.com/ Data science, Decisions engineering Accenture – New Delhi http://www.accenture.com/us-en/pages/index.aspx http://www.accenture.com/in-en/strategy/analytics/Pages/index.aspx Management Consulting, outsourcing, advanced applications across various industry verticals – Analytics Capillary– New Delhi http://capillarytech.com/ Retail, Customer, Mobile Social Cognizant (Global Delivery Centre) – Gurgaon http://www.cognizant.com/enterprise-analytics Big data analytics, customer analytics, risk, operation analytics – consulting Delloitte Analytics - Gurgaon http://www2.deloitte.com/in/en.html http://www2.deloitte.com/in/en/careers/students.html?icid=bottom_students Risk, Fraud, HR, eCommerce, Dunhumby – Gurgaon http://www.dunnhumby.com/india Retail analytics EvalueServe (Global Knowledge Centre ) – Gurgaon http://www.evalueserve.com/ Financial, Healthcare Genpact
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The news in the Indian analytics industry is upbeat. Moody's Analytics puts India's GDP growth rate at 7.5% during the previous three months, with Potential Growth Rate likely to reach 9 %.  The ARC Advisory Group Report on trends in Analytics and Business Intelligence (ABI) choice, application and deployment in India also presents an optimistic picture.
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If you thought these words were interchangeable, then you’d be wrong. Yet, one comes across incorrect usage of these terms every day. As part of the Analytics community however, you are expected to know the fine difference. So let’s get going. The etymology of ‘Analysis’ The word ‘analysis’ is derived from the Greek word ‘analusis’ meaning ‘breaking up’.
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Last month, we explored how you could make a career shift to Analytics. You may ask what about skills needed to make this transition. Several questions must be plaguing you. Do I need ‘deep’ statistical knowledge? Which tools should I learn on a need-to-know basis? What other technical skills can get me a good offer? What soft skills do I need to
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The weekend was taken over by the worst earthquake in the sub-continent in the last eight decades. Thousands of lives have been lost, scores injured and property worth millions destroyed. News of further losses pour in as the aftershocks continue to shake us all up. Geologists and scientists have always been monitoring the occurrence and frequency of
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The Complete Guide to Facebook Analytics This is a great book to start with understanding how metrics are used for branding, using the success story of Facebook. Blueprint for Success: Starting a Business Analyst Career It gives an insight into the profession of a Business Analyst and walks you through the process of  launching your career in Business
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Are you thinking of making a career shift to analytics? Then perhaps you are wondering how to go about it. You  maybe asking yourself, How steep is the analytics learning curve? How long does it take to break into the analytics job scene?  ...and more. Making a career in analytics is not just about steep salaries, or being in the midst of a fast-paced
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