Debunking Data Quality Myths - How to Solve the Data Integrity Problem
This ebook shows you how to spot bad data and debunks the 6 most common data
quality myths. As the total volume of data around the world continues to
increase, so will the volume of bad data. Poor data quality costs companies
an average of $15 million per year (and rising), according to Gartner.*
In the past, achieving better data quality was perceived as too lengthy and
complicated. However, improvements to data quality tools and procedures
have made solving the data integrity problem easier than ever.
Download this ebook to see how 6 organizations took proactive steps to reduce bad data and achieved great business outcomes.
The Definitive Guide to Data Quality
Siloed data sources, duplicate entries, data breach risk—how can you
scale data quality for ingestion and transformation at big data volumes?
Data and analytics capabilities are firmly at the top of CEOs’ investment
priorities. Whether you need to make the case for data quality to your
c-level or you are responsible for implementing it, the Definitive Guide
to Data Quality can help.
Download the Definitive Guide to learn how to:
- Stop bad data before it enters your system
- Create systems and workflow to manage clean data ingestion and transformation at scale
- Make the case for the right data quality tools for business insight
The future belongs to the Intelligent Enterprise - A vision for the ultimate data-driven organization
In order to navigate, survive, and thrive in this increasingly complex landscape,
forward-leaning companies are racing to transform into an Intelligent Enterprise –
capable of using data, people, and enterprise assets in aggregated and unique ways
that have previously never been possible. Organizations that reach this level of
sophistication are positioned to be the dominant force of tomorrow.
Getting there requires the right tools and structure to balance traditionally
counteractive forces—agility and governance, convenience and security, ease of
use and enterprise functionality—all critical capabilities that the MicroStrategy
platform is positioned to support with its unique intelligence architecture.
BAE Systems Success Story
For a large multinational defense contractor, strong data governance is a
vitally important foundational capability.
BAE Systems relies on xDM from Semarchy to master critical business
data and enable data champions throughout the enterprise.
Realizing the Value of MDM Through the Data Lake
Although it is common knowledge that MDM depends on effective data management
for success it is less known that a traditional relational database management
system (RDBMS) is not the only backend data storage system that can support
Master Data Management (MDM). There are more emergent and flexible options
regarding storage technologies and data pipelines available. In fact, the use
of a Data Lake brings new efficiencies to MDM heretofore not possible when
depending on RDBMS and Data Warehouses. This whitepaper will outline the path
to delivering business value quickly by using agile MDM powered by your data
lake and a performance-optimized semantic layer.
Untangling the world of private company information
This white paper discusses the availability of private company information
around the world, examining: why different countries have such varied
filing requirements; the influence of “open” and “closed” cultures;
the complex process of gathering data; Its appendix details the private
company filing requirements of a selection of economically and historically