Arvind Murali, Author at Perficient Blogs
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Arvind Murali

I am an Information Strategist with extensive data management experience in Healthcare Provider, Plans, and Life Sciences Domains. My focus areas include Information Management, Data Governance, and Solutions Architecture. In Perficient, I am a Senior Solutions Architect focused on Informatica based solutions. I am also passionate in researching on what contributes Innovation in Outsourcing alongside of support from International Association of Outsourcing Professionals (IAOP).

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Why BI Is Still The Most Important Trend

There are a lot of trends in data and analytics on the rise with AI, advanced analytics, IoT, and data science. But even with all of those new ways to explore and transform your enterprise data assets, business intelligence (BI) is still at the core of effective data strategy. Gartner estimates a $22.8 billion growth in […]

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Informatica World 2018 Takeaways for Intelligent Disruption

Another successful Informatica World 2018 concluded in Las Vegas last week. The conference provided many insights into how Informatica is playing a role in intelligent disruption with over 1,200 sessions and 112 customer and partner speakers. Below are my four takeaways from the conference this year. 1. Data 3.0 I remember discussing Data 3.0 last […]

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Data Strategy Framework: Handle with CARE

As Gartner predicted, artificial intelligence is emerging as a core business and analytical competency. Although information is still not recognized as a line item in a corporate balance sheet (data as an asset), it is still a strategic asset that can drive business value.  Therefore, it’s important to have data strategy framework in place. On […]

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Amazon Knows What You Want to Buy BEFORE You Buy It

I was reading an article about “Amazon using its MultiDimensional Datasets”. The news never gets old to me that Amazon Retail leveraging its Big Data Ecosystem to access 1,000,000,000 GB of data on more than 1,400,000 servers to increase sales through predictive analytics does personalized recommendations, price optimization, and anticipatory predictions on what the customer […]

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Field of Data Science in 2018

It is no secret that a data science and analytics specialty was one of the hottest and fastest growing careers in 2017, leading to resource shortages (as denoted by the picture below). However, in 2018 and beyond, a data scientist will evolve into data engineer, a data steward, and a governance lead. Every field will […]

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Insights from Informatica World 2017

As mentioned last week, Perficient was a proud sponsor of this year’s Informatica World conference. We met with many Informatica customers and companies evaluating the suite of products. The event was also a great opportunity to hear from other thought leaders in the areas of Big Data, MDM, and cloud. It was clear from Informatica […]

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3 Essential Elements of an Intelligent Data Platform

There are 4 major shifts in the market for data integration: Moving from a massive enterprise data warehouse to Hadoop for cost savings Moving from enterprise data models to data lake architecture for a quick time-to-value when on-boarding new data Hybrid on-premises/cloud approaches including a variety of enterprise SaaS applications Real-time streaming analytics and self-service […]

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5 Themes from Gartner Summit and World Economic Forum

At the recent World Economic Forum (WEF) and Gartner Data & Analytics Summit, a few themes were resounding and common between the two large conferences. These themes all centered on driving innovation across the world with new data and analytics solutions, enabling “responsive and responsible leadership”. WEF was clear that over the coming years, jobs […]

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Millennial Generation and their Relationship with Data

During closing statements at the World Economic Forum Annual Meeting, Alibaba’s Jack Ma made the following recommendations: Focus on the next 30 years where the technology invented is going to help people Focus on people less than 30 (Internet Generation) since they will dominate the world Focus on companies less than 30 employees (small business) […]

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Role of Analytics & BI Platforms in Digital Transformation

This is the era of “wanting to be engaged and needing to be informed”. For ages, lagging indicators such as customer sales and customer problem solving were the driving factors for customer satisfaction. However, using predictive analytics to understand valuable customers and appropriately engage with them is a key aspect of business intelligence, as pointed […]

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Optimize Business Outcomes with Data-Driven Customer Journeys

CIOs are key contributors of new business models and organizational strategy. Data is the key asset for CIOs and CDOs to have a seat with the CEO, CFO, and CMO. In addition to unstructured data collection like social media and machine data, companies have started to consume strategic market competition data such as benchmarks, new […]

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Role of Data in Enhancing a Customer Journey

As Simon Sinek pointed out, “people want to do business with you because of why you do what you do.” The story of Steve Jobs revolutionizing the marketing of Apple products and building a cult of Apple loyalists is timeless. This is the age of the customer and word of mouth is the best marketing […]

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Role of Data in Digital Transformation

As we move into 2017, Digital Transformation is seen as a core competency instead of innovation for information leaders (especially sales and marketing). In addition, digital spend is an important contributor in 2017 for IT and spend is projected to increase 2.9% (Gartner IT Spend Worldwide Forecast). Here is what the industry analysts have to […]

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2017: Back to the Future with Artificial Intelligence and Big Data

As we move into 2017 and most of us are still recovering from the Christmas party, I want to pass along some focus areas for data gurus in 2017. I’ve provided some insights from industry analysts (Gartner, Forrester), Venture Capitalists, and the multi-million dollar software companies that are driving the next wave of data and analytics such […]

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Perficient’s Portfolio of Data Accelerators

An important aspect of our transformational success stories with our clients and the fantastic journey of forming the Data & Analytical Insights practice within Perficient is the collection of accelerators that Perficient has built over the years. As I am working with different departments within Perficient, I realized the incredible work that teams have done […]

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5 Ways to Build a Data Lake and not a Data Swamp

In the last 6 months, my customers and I have been on a journey with some of the largest cloud data lake vendors, open source Big Data vendors, and a team of the smartest Big Data architects that I’ve worked with in my career. As we explore this journey, often our clients are looking to […]

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Is Data Warehousing Dead?

In my recent interactions with IT practitioners and leaders either on the software vendor side or on the business side, a common question keeps coming up. With the rise of Big Data, are data warehouse initiatives dead? My answer to them is a resounding NO. To clear this notion, let us discuss the commonalities which […]

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SQL, NoSQL, and NewSQL

Traditional SQL databases and data warehouses have been around for decades and have been doing really well. However, Big Data NoSQL changed the game with big returns for big investments. Concepts like Edge Analytics have been game changers “uberizing” foundational changes in business models. I recently attended a conference hosted by Snowflake, a data warehouse […]

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Perficient’s Big Release in Big Data

An important capability of a services provider such as Perficient is to bring best practices and lessons learned to our customers and our projects. We at Perficient have been very proud of our Big Data capabilities and the transformational journey that we have helped our clients achieve. To better help our clients quickly achieve that […]

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4 Ways Big Data is Helping Transform All Companies

A couple of years ago, I read several articles detailing the challenges of Big Data and the confusion around implementation.  The message was as follows: Everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it. Since then, technology and Big […]

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