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Posts Tagged ‘Big Data’

Join Perficient at Informatica’s Cloud Virtual Summit

Whether your organization is currently evaluating cloud platforms and primarily storing data on-premises or you’ve made the journey to cloud and are adopting a hybrid model, accurate and timely access to data should be a focus. Regardless of where you are on your cloud journey, a flexible data management platform helps you to deliver what […]

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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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Data Lakes vs Data Warehouses in Healthcare

In a recent post, Perficient’s Arvind Murali explained how the rise of Big Data and data lake technology is not an indication that traditional data warehousing is obsolete. There is a place for both solutions, since they address different challenges, and plenty of opportunities for integration as well. According to Gartner, there is a market […]

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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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Perficient Data & Analytics

Trends, best practices, and technical perspectives from data and analytics experts. Readers will gain valuable insights and strategies in harnessing the power of data to drive actionable intelligence for a digital transformation journey.

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