Data Quality:
An Awareness Guide to Data Maturity
What is your plan?
According to surveys, bad data quality costs organizations trillions. And nearly 50% of new data have errors that negatively impact organizations.
Pretty emphatic, right?
The way data is gathered, stored, and consumed has enormous implications for the quality of the information at your company's disposal.
Data scientists simply can't achieve the same results with poor-quality data. We are talking about providing the top analysis to help companies make solid business decisions or run programs like machine learning effectively.
It seems so obvious that companies need to prioritize ensuring only quality data is allowed within their businesses, but, alas, so many become yet another victim of bad data.
Download this ebook and see the negative impact bad data causes organizations and why it is so essential to be proactive in finding solutions.
What will you see in this content?
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01
Intro: Is your data good enough?
Setting the scene; a brief look at the impact of data in the modern world.
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02
The Problem: Bad Data
Let's not beat about the bush; here we, in no uncertain facts, detail why having bad data is such an issue, including some mind-blowing statistics of the adverse effects it's having on business.
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03
Machine Learning: Bad data's negative effect
A specific example of where bad data can cause such disruption. Upon an otherwise potentially valuable business process.
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04
The Solution: Data Quality
The antidote: what defines the quality of this all so precious resource?
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05
Measuring
Not much mystery here; we take a look at the techniques used to gauge and understand data quality.
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06
The Six Dimensions
Here we outline the principal metrics used in the measuring process, but what are the six preferred elements for accessing data?
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07
The Importance
So far, we've been looking at only issues and how to measure data; it is now time to "flip things over" and look at the fantastic benefits good quality data can provide.
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08
Improve The Quality
The path forward, this section will show you how to get your hands on the all so valuable good data.
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09
Takeaways: take data seriously!
Finally, an overview of everything discussed including a reinforcement of the importance of the topic. And where we believe MJV can potentially provide its expertise and be of assistance.
"Bad data quality costs organizations trillions. And nearly 50% of new data have errors that negatively impact organizations."
MJV Technology & Innovation
With 25 years of experience, MJV Technology & Innovation helps leverage business, foster innovation, and solve business challenges for some of the world’s largest companies.
With offices spread across Europe, the United States, and Latin America, our consultancy has a multidisciplinary team composed of more than 1000 professionals, including designers, engineers, anthropologists, data scientists, developers, entrepreneurs, advertisers, and journalists.
Our specialists aim to offer business intelligence to different market segments, proposing innovative solutions. Our DNA carries on collaborative work, Design Thinking, and Agile Mindset, which guide our processes and projects.
MJV is structured around 5 pillars that work in complete synergy and always keep human-centricity at the forefront:
Technology Consulting
Development and implementation of personalized services in the areas of Business Analytics, IT, and Internet of Things (IoT).
Professional Outsourcing
Allocation of UX, UI, Marketing, and IT Professionals, with the strategic and operational monitoring of MJV, optimizing deliveries.
Digital Strategy
Development and Implementation of corporate strategy and User Experience, placing Digital Transformation as the guiding thread of the business
Business Innovation
Development and Implementation of innovative solutions to reduce costs, increase and generate new revenues, and develop new business models.
Sustainability
Development and implementation of positive impact solutions, considering aspects of the entire ecosystem, looking at business, people, and the planet.