White Papers Published by Neil Raden
2004-2008
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Client |
Title |
Description |
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Salesforce.com |
An
on-demand, or software-as-a-service (SaaS) platform
allows IT organizations to maximize
innovation and output with their BI opportunities, while lowering
downside IT burdens, in four key aspects |
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Oracle
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next
generation BI will advise and drive businesses with embedded analytics,
real-time decision tools and vastly improved capabilities for people |
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SAP |
A
new set of principles for analytics that enables vastly smarter business
processes. |
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Metallect |
The
promise of SOA is heightened agility powered by reuse and dynamic assembly of
business processes, a necessary element for competing in faster, more open
markets. |
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SPSS |
-Awaiting
publication Decision Categorization |
Classification
of various types of decisions and the appropriate technology to manage them |
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Kalido |
Back to Business: How Business
Modeling Rationalizes Data Warehousing |
A
model-driven approach to the entire process of data integration management,
and information delivery including metadata, changes everything, especially
the way stakeholders work with each other. |
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Celequest (IBM/Cognos) |
BI software is not adequately
addressing the analytical needs of today’s private and public sector
organizations. |
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Sybase |
Six ideas for enabling your organization to leverage information
more strategically in today’s technology and business environments. |
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Business
Objects (SAP) |
Business
Objects (via its acquisition of |
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Expressor |
Missing
from today’s DI tools are two key capabilities that can reduce or even
eliminate the slow work and redundancy – semantic rationalization and abstraction. |
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Exeros |
Integrating
data manually is no longer feasible. New approaches are needed, especially
those that rely on algorithms to discover the relationships between data
elements |
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Teradata |
Dynamic Mixed Workloads:
Meeting Demands for Data Warehouse Performance |
As
data warehouses are required to provided vastly greater volumes of data, with
more diverse needs (queries), adoption of intelligent load managers is
required |
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SAP |
A
formal data warehouse methodology, comparing “Best of Breed” to single vendor
offerings |
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Teradata |
Evaluating
the opportunities for real-time and near real-time data in data warehouses
and the implications |
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Tableau |
Fast Analytics and Business Intelligence
for Everyone: Best Practices for Deploying Collaborative BI |
Collaborative decision-making requires something
different that the traditional deployment of packaged BI. People involved in
decision-making need answers to their own questions, not just pre-determined
ones. |
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ParAccel |
-In
final edit. |
Infrastructure
implications of Operational BI |
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Vertica |
-In
final edit. BI is in the Details: The Case for Columnar Technology |
How
extreme data depth, and a SQL-based analytical tool, solve critical problems |
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Corda |
-In
final edit. Effective Analytic
Organizations |
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Pentaho |
-In
progress |
Open
source BI |
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Metatomix |
-In
progress. Business Applications of Semantic Technology |
Real-life
examples of semantic technology in the enterprise |
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Sybase |
-In
progress. Data Aggregators |
The
Factory: How data warehousing and BI in the data aggregators business differs
from “best practices” in the enterprise. |
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Teradata |
-In
progress. What Every CEO Needs to Know About Data Warehousing |
Translation
between two dialects: How a CIO should communicate the need for data
warehousing to a CEO |
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Certive
(Cloud 9 Analytics) |
New Approach to Data Management
and Integration for Business Intelligence |
Realigning
Data Warehouse Best Practices Based on Technological Advances and Lessons
Learned |
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Spotfire
(Tibco) |
Informing
business decisions with information and tools to visualize, present,
manipulate and share information can no longer be constrained by existing
development paradigms |
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Teradata |
Data
warehouse appliance vendors have produced some questionable benchmarks
derived from loose methodologies |
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Actuate |
The convergence of operational and analytical reporting requirements
are best met with an integrated architecture, a broad set of functionalities
and robust data integration capabilities |
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Silver
Creek Systems |
Semantic Integration: Tapping
the Full Potential of Enterprise Data |
The
growing externalization of business processes requires
the discovery of meaning in data |
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ProClarity
(Microsoft) |
Shedding Light on Shadow IT:
Is Excel Running Your Business? |
The
existence of Shadow IT implies a failure on the part of IT to provide all of the
services to meet their clients’ needs, and the problem is universal. |
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DATAllegro (Microsoft) |
A
slightly technical piece on strategies for optimizing both load and query
processing |
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Applix (IBM/Cognos) |
BI
drifted away from modeling tools for end-users; a description of modeling
functions for people who do more than read reports |
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Initiate
Systems |
How
probabilistic data matching and other stochastic techniques can provide
enterprise master data services |
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Metatomix |
A
primer on semantic technology; how it provides the ability to infer the
meaning of data and determine its utility within context |
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Spotfire
(Tibco) |
The Foundations of Analytics:
Visualization, Interactivity and Utility |
What
are the real requirements for interactive, collaborative, dynamic
visualization tools? |
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Actuate |
How
to preserve the best and most useful features of spreadsheets
while mitigating the risks and expense caused
by unbridled Shadow IT |
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Client |
Title |
Description |