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 selecting bi tool data


BI Reporting: Does the Tool Really Matter?
Last month I listened to several discussions about the importance of choosing the right reporting tool when installing a business intelligence (BI) solution

selecting bi tool data  organization. The Bottom Line Selecting a reporting tool can be a critical phase when deploying a BI solution for an organization. At the end of the day, reporting is an end user matter, so it is important to comply with end user, organizational, and regulatory requirements. I welcome your thoughts—please leave your comments below.

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

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Business Intelligence (BI) and Data Management

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Documents related to » selecting bi tool data

Business Intelligence: A Guide for Midsize Companies


Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI.

selecting bi tool data  effective decision making. When selecting a business intelligence vendor, it's important to consider many factors ' including experience, reputation, and stability ' as well as the vendor's professional services capabilities and the quality and strength of its partnerships. Approaches to Implementing BI Start Small But Get Ready to Move Quickly Beginning a BI initiative is not necessarily expensive, especially if you choose a vendor with a suite of products that allow you to easily start with your Read More

Predictive Analytics; the Future of Business Intelligence


Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive analytics is emerging as a distinct new software sector.

selecting bi tool data  past, present, and future, selecting the right tool can be a key success factor in your BI strategy. About the author Mukhles Zaman has more than twenty five years experience in the IT industry specializing in business intelligence (BI), customer relationship management (CRM), project management, database design, and reporting software. He is a leading BI expert and has worked as a senior project manager on IT projects for Fortune 1000 companies in India, the Middle East, US, and Canada. He has also Read More

Got BI? Now You Need to Hire a Data Geek. Here’s What to Look For.


According to a poll conducted by KDnuggets, salaries in the analytics and data mining space are up in 2011. While there is no direct proof that the data explosion is increasing the need for business intelligence (BI) or business analytics (BA) specialists, it’s only natural that the increase in BI software adoption and demand for analytics should promote the growth of BI job offerings.

selecting bi tool data  in the process of selecting a new or better BI software tool , there is a high probability that you will need the services of this new type of information worker. Data geeks and BI specialists have as their mission to manage large amounts of data—to collect it, analyze it, and show the results in a way appropriate to the audience. So, no matter if your data geek comes from inside or outside your organization, you need to know what to look for when selecting the right data geek for the job. What You Read More

Achieving Business Intelligence (BI) in Midsize Companies


Like many of today’s IT decision makers, you may be considering a business intelligence (BI) solution for your midsize company. But how do you go about adding BI without disrupting your company? Without breaking the bank? Without having to add staff members with specialties you’ve never even heard of before? This paper helps answer those questions, with practical advice for bringing BI into your midsize company.

selecting bi tool data  we used several carriers, selecting them based on the proximity of their hubs to our stores. Within a year, the BI system had paid for itself in shipping savings. Not long after, we started plugging the BI system into more areas of the company. We could punch in proposed sales figures for a given month and see exactly what we'd probably be spending on shipping, see if the distribution center staff would need more or fewer parttimers to handle the restocking workload, and even predict how long the loss Read More

Mobile BI: Features, Challenges, and Opportunities


What does your organization need to consider when adopting a mobile business intelligence (BI) or business analytics strategy? What are the enablers, challenges, and opportunities of a mobile BI strategy implementation? In this report, we explore considerations for deploying a mobile BI solution, how to leverage this type of platform to best advantage, and why a mobile BI/analytics solution can be a valuable asset for your company.

selecting bi tool data  BI: Features, Challenges, and Opportunities What does your organization need to consider when adopting a mobile business intelligence (BI) or business analytics strategy? What are the enablers, challenges, and opportunities of a mobile BI strategy implementation? In this report, we explore considerations for deploying a mobile BI solution, how to leverage this type of platform to best advantage, and why a mobile BI/analytics solution can be a valuable asset for your company. 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 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 of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

selecting bi tool data  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices 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 it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

selecting bi tool data  contacted more than once. Selecting the Right Approach to Data Quality Selecting the right method for ensuring data quality depends on many factors: how the data is acquired, how it is to be used and the amount of data that needs to be processed at one time. No matter what data quality solution is ultimately chosen, at the very minimum it should accomplish the following: Trap inaccurate addresses before they enter your database. Process existing records to flag undeliverable mailing addresses for Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

selecting bi tool data  enterprise data management,enterprise data migration,erp data lifecycle,enterprise data migration framework,enterprise data migration services,enterprise master data management,enterprise data management strategy,enterprise product data management,enterprise storage and data management,what is enterprise data management,enterprise data management software,enterprise data management solutions,enterprise data management system,enterprise master data management pdf,enterprise data management maturity model Read More

New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

selecting bi tool data  IBM,data protection,disaster recovery,disaster recovery plan,data protection manager,disaster recovery planning,backup disaster recovery,data disaster recovery,data protection system,disaster recovery software,continuous data protection,disaster recovery services,data protection services,disaster recovery systems,data disaster recovery plan 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 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.

selecting bi tool data   Read More

The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

selecting bi tool data  big data,data management,analytics,SAP Read More

Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

selecting bi tool data  Critical Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Data Cleansing and Synchronization Services The pace with which companies are forced to operate and to compete globally has taxed exisitng systems and increased their inefficiencies. Source : PM ATLAS Business Group, LLC Resources Related to Critical Success Factors to Cleansing Data : Data Read More

Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

selecting bi tool data  data integration,data cleansing software,free etl tools,data profiling tool,data profiler,data warehouse software,etl comparison,data quality tools,data mapping software,data extraction tools,talend etl,free etl,etl software,data warehousing software,saas integration Read More

The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

selecting bi tool data  and implemented. Selection Issues Selecting a set of products for a data warehouse effort is complex. The first and most important issue is to ensure that the Extract/Transform/Load tool that is chosen can effectively and efficiently extract the source data from all the required systems. The selection of the ETL tool requires an understanding of the source data feeds. The following issues should be considered: Many warehouses are built from legacy systems that may be difficult to access from the Read More