The Top Five Worst Practices in Business Intelligence

Many business intelligence (BI) implementations don’t deliver the anticipated results. In a 2015 study conducted by Dresner Advisory Services, only 35 percent of companies polled said they “completely agree” that they’ve had success with BI.

Spotlight

Trendwise Analytics

Trendwise Analytics is a Big Data & IoT firm, formed by a group of technocrats whose experiences from the industry forms a strong foundation of the company. The founder members and leadership team of Trendwise had been a part of early CRM evolution, development of large enterprise scale applications like ERP, SCM, Business intelligence and hence establish an authority over analytics. Our focus would be set on the newer aspects of analytics which is yet to come of age. While Hadoop, Cloud Computing, BigData analytics form the technological basis for us, our domain focus is on predictive aspect of analytics which would create insights for our customers like never before.

OTHER WHITEPAPERS
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Building a Data Management Strategy for Your Nonprofit

whitePaper | June 14, 2022

In a digital-first world, every organization needs a data management plan. Yet, fewer than 25% of nonprofits report having a plan in place. This means data is infrequently shared across departments and rarely used to make decisions or predict future stakeholder behaviors. A data management plan is fundamental to make an impact and an attainable goal regardless of organization sizeor technological capacity. An effective data management plan takes into account your mission, staffing, time, budget, goals, existing technology, and more.

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Your 2022 Executive Guide to Data Science and AI

whitePaper | July 8, 2022

This series of white papers lays out the essential steps you need to take to ensure your business stays at the forefront of an increasingly data-driven and automated world. We cover everything you need to know about growing a data science team, the current trends in machine learning, data visualisation, essential data science tools and technologies, automation, deployment, how to prove value with data science and also give our thoughts on the next ‘big ideas’ that are set to take the world of AI in business by storm.

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Data Beyond Borders 3.0

whitePaper | July 6, 2023

Cross border data flows came to prominence under Japan’s G20 Presidency in 2019, with the Data Free Flow with Trust (DFFT) framework. Since then, the G20 Presidencies have set DFFT as a major priority in the promotion of worldwide digitisation, building the pillars that led G7 leaders to endorse and commit to a roadmap for cooperation on DFFT. Cross-border e-commerce has had a 45-fold increase1 in a decade, reaching an estimated USD2.7 trillion by 2023.2 Nearly two-thirds of global commerce is related to digital technology, with companies and governments investing an estimated USD6.8 trillion in digital transformation initiatives between 2020 and 2023.3

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The Power of Graph Data Science: Maximizing the Value Of Data Through Predictive Insights

whitePaper | September 28, 2022

Graph data science (GDS) is a scientific approach to gain knowledge from graphs, using the structures of connected data to power predictions, answer questions, and explain outcomes.

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Our Approach to Data Analytics

whitePaper | November 4, 2022

Truveta offers the most complete, timely, and highest-quality data on US health, enabling actionable insights by researchers in life sciences and healthcare.

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6 best practices for cloud data integration

whitePaper | September 1, 2022

Organizations often adopt a hybrid cloud strategy when deploying their first analytical solution to the cloud. The cloud combines sheer infinite scalability with consumption-based pricing. These are desirable attributes for analytical environments that require scalability and can be very expensive when scaled for maximum capacity over an extended period.

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Spotlight

Trendwise Analytics

Trendwise Analytics is a Big Data & IoT firm, formed by a group of technocrats whose experiences from the industry forms a strong foundation of the company. The founder members and leadership team of Trendwise had been a part of early CRM evolution, development of large enterprise scale applications like ERP, SCM, Business intelligence and hence establish an authority over analytics. Our focus would be set on the newer aspects of analytics which is yet to come of age. While Hadoop, Cloud Computing, BigData analytics form the technological basis for us, our domain focus is on predictive aspect of analytics which would create insights for our customers like never before.

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