X
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
Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 define analyze data


Captured by Data
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary

define analyze data  term generally used to define the routine activities to sustain standards of performance throughout the in-service, or operational, part of the asset life cycle. In doing this, the maintenance policy designer needs to take account of a range of factors. These include the complexities of the operating environment, the available resources for performing maintenance, and the ability of the asset to meet its current performance standards. In the past, this would be the extent of the maintenance analysts'

Read More


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

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Business Intelligence (BI)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

Evaluate Now

Documents related to » define analyze data

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.

define analyze data  and Business Owners who define what is needed. If you have internal data tools already implemented, then use them. If you don't, then don't run out and buy one just for this project. Implementing a PIM or PDM, is a whole separate project. Most vendors will only import clean data, so you still have to do the hard work first. Not to worry, most any technical analyst can link to tables via ODBC and extract out the data needed for analysis. Most data cleansing vendors have built their own proprietary tools Read More

How Bar Codes Can Optimize Data Recording and Information Analysis


Bar code technology allows users to analyze information to develop more accurate maintenance, personnel, and financial planning. In particular it can hasten the data recording processes in a maintenance system, as seen in its use in the aircraft maintenance process.

define analyze data  maintenance process indicators to define work standards that can be used to obtain certification, such as ISO or any other aeronautics standards, for our process. Is the bar code technology obsolete? This technology has been in the market for many years and it has proven to be useful in different businesses. Therefore, it is a widely spread and commercial technology that is reliable, has equipment diversity, has brand and provider diversity, is well known, and is affordable. Further, it will be available Read More

Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

define analyze data  Identifiers — These identifiers define a business entity's master system of record. As you bring together data from various data sources, an organization must have a consistent mechanism to uniquely identify, match, and link customer information across different business functions. While data connectivity provides the mechanism to access master data from various source systems, it is the Total Data Quality process that ensures integration with a high level of data quality and consistency. Once an Read More

Comparing Business Intelligence and Data Integration Best-of-breed Vendors' Extract Transform and Load Solutions


There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality into their overall BI framework, while best-of-breed data integration vendors, who provide enhanced ETL functionality, have an increased focus on data cleansing and integrity.

define analyze data  and to create and define their own business rules to automatically monitor data standards. Also, Trillium software generates entity-relationship diagrams; creates a central repository of data, metadata, statistics, rules, and documentation; and has drill down capabilities down to individual rows of data. Additionally, continuous data profiling, cleansing, and monitoring activities, plus data filter and search capabilities are provided. Conclusion Depending on an organization's data requirements and its 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.

define analyze data  big data,data management,analytics,SAP Read More

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization


Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

define analyze data  perimeter is difficult to define a defense-in-depth architecture is warranted, especially to protect the business against intrusions that firewalls and other products cannot prevent. Once the threats and vulnerabilities to your business are understood, it is time to plan for a world in which encryption is ubiquitous. Since complete encryption coverage cannot be rolled out overnight, start today by deploying encryption where it makes sense and has the greatest impact on the business. Specifically, Read More

Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

define analyze data   Read More

2012 Business Data Loss Survey results


This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now.

define analyze data  data protection,data backup,2012 data statistics,data loss,business data backup Read More

Evoke Software Releases Axio Data Integration Product


Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.

define analyze data  integration data,cass software,address correction software,address cleansing,merge purge software,validate address,address scrubbing,data profiler,data profiling tool,data warehouse software,data warehouse applications,address correction,deduping software,data quality tools,data extraction tools 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 intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

define analyze data  organizational strategy Policies that define each aspect of regulation, control, and strategy Security standards based on the previous policies and for compliance A data security risk assessment model The necessary process(es) to ensure the proper execution, control, and monitoring of all elements (policies, standards, risks and issues). Putting these elements in place will lead you down the path toward achieving a healthy data security governance initiative. We all know that more often than not, there 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.

define analyze data   Read More

Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

define analyze data  big data, predictive analytics, real-time analytics, embedded analytics, business analytics, IBM SPSS solutions, IBM SPSS predictive analytics tools, SPSS predictive software, predictive software Read More

Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

define analyze data  ISO 8402 specification, which defines quality as, The totality of characteristics of an entity that bear on its ability to satisfy stated or implied needs. If we apply this definition to data, then it means that data quality is dependent not only the characteristics of the data itself, but also on the business context in which it is used, i.e., on the business processes and business users that employ it. This is somewhat analogous to product quality. All product manufacturers have quality assurance Read More