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Business Intelligence (BI)
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Documents related to » data warehouse tutorial bi


SAP BusinessObjects Edge BI for Business Intelligence Certification Report
SAP''s business intelligence solution, SAP BusinessObjects Edge BI, is now TEC Certified. The certification seal is a valuable indicator for organizations who

data warehouse tutorial bi  information recipient (usually a data warehouse system). SAP BusinessObjects Edge BI is very strong in this module, due to its powerful ETL functionality and data quality, which are provided by the SAP BusinessObjects information management solutions included in the bundle. Its comprehensive set of functionality features supports ETL and enterprise information integration (EII) services, reaching almost 90 percent of the functional criteria for both submodules. About Support Besides general BI Read More
Financial Reporting, Planning, and Budgeting As Necessary Pieces of EPM Part Two: Challenges and User Recommendations
Although CPM (aka EPM) starts with strong financial management, it will eventually extend beyond financial planning to almost all areas of corporate activity

data warehouse tutorial bi  and scorecards, along with data warehouse technology, data models, and integration software, and what not. Anyone attempting to conduct the technology inventory stocktaking will likely find some CPM components already in use. CPM Vendor Landscape For the above reasons, the vendor landscape remains diverse, with every vendor touting some (or total) CPM capabilities. Thus, the arms race to marshal the most complete CPM platform has intensified lately, especially following up on the recent Cognos Read More
SAP HANA-One Technology to Watch in 2012 (and Beyond)
Did you know that SAP HANA is much more than a high-speed analytic appliance? TEC principal analyst P.J. Jakovljevic reveals how HANA is a universal database

data warehouse tutorial bi  e-mail inbox), an OLAP data warehouse for analysis of users’ logs and preferences, etc. The differences are nuanced, and these nuances present the advantage of one database (approach) over another. To that end, HANA’s purpose is not to necessarily unify all of these disparate worlds and approaches, but rather to reduce the differences and chasm between them. What HANA brings to the table is the speed of combining predictive algorithms with cashed data. Furthermore, HANA features column-oriented data Read More
Bridging the Reality Gap Between Planning and Execution Part One: The Problem
At sites where both planning and execution modules are stand-alone implementations, neither deliver enough benefit because there are almost always manual

data warehouse tutorial bi  delivery to customers. Additionally, data inaccuracy and inconsistency problems, complex planning algorithms or models requiring sophisticated user skills, lack of easy integration to other applications, and plan timeliness have all contributed to traditional SCP products'' steep fall from their early grace. This is Part One of a two-part tutorial. Part Two will address the manufacturers'' perspective. Collaboration Complicates the Picture The demand for near real time supply chain collaboration will, in Read More
Business Intelligence
The ability to extract and present information meaningfully is vital for business management. Indeed, business intelligence tools enable companies to make

data warehouse tutorial bi  analysis | sql server data warehouse | sql server learn | sql server magazine | sql server performance | sql server queries | sql server query optimizer | sql server query performance | sql server query tool | sql server report | sql server reporting | sql server reporting services | sql server reporting tool | sql server reporting tools | sql server reports | sql server standard | sql server syntax | sql server tools | sql server workgroup | style report | support bi analysis tools | support bi process Read More
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

data warehouse tutorial bi  Afford Not To? Spiraling data storage requirements are straining many companies'' abilities to keep pace. One obvious solution is storage in the cloud—but concerns regarding security, speed, and accessibility remain. Or do they? In Data Storage in the Cloud—Can You Afford Not To? , you''ll discover a cloud storage solution that offers you high-security dual-level encryption (SSLv3 and 256-bit AES) data accessibility from anywhere lower costs due to the economies of scale of cloud storage providers high Read More
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

data warehouse tutorial bi  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More
Big Data: Operationalizing the Buzz
Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented

data warehouse tutorial bi  the Buzz Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more. Read More
Data Visualization: When Data Speaks Business
For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is

data warehouse tutorial bi  Visualization: When Data Speaks Business For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages Read More
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

data warehouse tutorial bi  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

data warehouse tutorial bi  Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

data warehouse tutorial bi  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More
The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business

data warehouse tutorial bi  Path to Healthy Data Governance through Data Security The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any organization. This article is devoted to providing insight and outlining the steps that will put you on the path Read More
To BI or not to BI
Nowadays a company should not even question whether it needs business intelligence (BI) or not. Those who do not have it yet should include it in their future

data warehouse tutorial bi  create what-if scenarios, compare data from different sources and timeframes, and identify pain points in your processes, among other things. A good BI product should allow you to accurately translate your business needs into technical requirements, which will later on generate the reports, statistics, and analytics that you need in order to make sound business decisions. The only thing BI cannot do is understand certain aspects specific to human logic. Two different people in your company may end up Read More
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

data warehouse tutorial bi  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More

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