Data Visualization for Financial Services

February 13, 2019

Data visualization is entering a new era. While the premise of visualization remains the same – to generate actionable insight from complex datasets – the everincreasing volume of data available and technological advancements are changing the way financial institutions approach visualization.

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MAIA Intelligence

MAIA Intelligence is a company committed to developing and continually improving powerful Business Intelligence reporting and analysis products to meet the needs of corporate implementations, application service providers and value-added resellers. We serve each of our clients with integrity. No single client is more important than our professional reputation. To protect and maintain the trust of our clients and the public at large, we strictly adhere to regulatory and professional standards. And we have internal channels and processes in place to provide our people with the tools and opportunities to do the right thing. Our products offers business reporting solution which are comprehensive, affordably priced and are easy to learn, use, deploy and maintain. Our BI products are next generation reporting solutions built from the ground up on.

OTHER WHITEPAPERS
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How to Analyze and Maximize Customer Retention: Asset

whitePaper | May 10, 2022

Understanding all the factors that impact customer health and retention requires a comprehensive view of complex data.

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Data Analytics Integrity Challenges to Implementation of the Automated Data Collection Processes

whitePaper | March 12, 2020

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of the everchanging Data Collection requirements, it did not have the scope to address technicalities of the RDC processes along with the specific Data Collection tools and methods. The purpose of this paper is to fill the void by looking into implementation of the automated data collection processes.

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Evolving Role of Data Scientist in the Age of Personalization

whitePaper | March 12, 2020

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of industrial revolution. It might be claimed that current trends in industrial revolution reflect a paradigm shift towards data centric processing with data science playing an increasingly critical role. This point of view also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption

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Introducing Apache Druid

whitePaper | January 31, 2020

Many companies have invested heavily in specialized enterprise data warehouses (EDW) and Extract, Transform and Load (ETL) technologies to analyze their operational data. But these technologies were never designed to be truly real-time.They were originally built for batch, and that original design limits how real-timeEDWs and ETL can become. They were also designed to support a focused group ofanalysts, not a larger group of employees spanning operational functions, or even partner and end customers.

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CDAIT Digital Transformation

whitePaper | November 26, 2019

There has been much said about the Internet of Things (IoT) and what it can bring to business and society - creating a more deeply connected world, informed by data sourced from connected things, made better by smarter, more meaningful actions and interactions. These views often focus on how IoT technical solutions can deliver this new future, emphasizing the technology DNA of IoT devices, networks and applications. We have found, however, both through research and experience, that while technology is, in fact, the core of IoT’s DNA; it is just a piece of the puzzle needed to deliver on IoT’s promise. With 60% of IoT projects still struggling to move out of proof-of-concept and scale successfully2 there is more to IoT success than technology alone. What is needed and how can business leaders plan better for IoT success?

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Build a thriving business using data and analytics at scale

whitePaper | February 7, 2020

The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.

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Spotlight

MAIA Intelligence

MAIA Intelligence is a company committed to developing and continually improving powerful Business Intelligence reporting and analysis products to meet the needs of corporate implementations, application service providers and value-added resellers. We serve each of our clients with integrity. No single client is more important than our professional reputation. To protect and maintain the trust of our clients and the public at large, we strictly adhere to regulatory and professional standards. And we have internal channels and processes in place to provide our people with the tools and opportunities to do the right thing. Our products offers business reporting solution which are comprehensive, affordably priced and are easy to learn, use, deploy and maintain. Our BI products are next generation reporting solutions built from the ground up on.

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