KENETEK - Services

We live in a new economy phase, which involves combining the transactional and communication capabilities of IT into a new business models. At the heart of the new phase are two dependent but conflict trends:

• Ongoing Proliferation of Data and Information – in term of both content and technologies, which will not slow down but will speed up. We call this condition “InfoSmog” – in other words, data-induced paralysis.
• Need for Knowledge – in term of the need to distill information and to take actions with predictable outcomes.

This new economy thrives on producing information and passing it at unprecedented rates among partners, employees, and customers. But as the volume increases, the need to identify the important pieces that allow enterprises to act effectively in the interest of their organizations becomes more urgent.
If you want that your company will be more profitable and will easily maintain its primacy within the market you need to know your IT application and have a high level of quality Information Data.
We are creating Simplicities, tools, and methods that help to see whole-system patterns and dynamic relationship.
We can help you don’t ‘re-inventing the wheel’ extracting the knowledge that are impeded in your IT applications with KLR (Knowledge Language Recognition) tools. We can:

• Document the evolution of applications and the business processes that are embedded within them. 
• Share the best practices, documents, video etc., with the rest of the organization, enterprise or group.
• Improve management process
• Enhance competitive advantage

With ASA (Alphanumeric String Analyzer) we help you to analyze string and data that you manage. Our experience starts analyze graphics, documents, programs and data bases. We specialize in alphanumeric string like address, cities etc.
Upcycling
Turning your IT applications that are considered obsolete into systems of greater value
Reduce the costs and consequences of inaccurate information
"Start anywhere. Follow it everywhere." When you find that energy of "yes," you find what people are willing to invest in.
We support you in working with what you care about, knowing that it's just the first step which will open up the space at all different levels for more things to happen as well.

KLR is a collaborative tool that work in internet intranet and help IT to work in a complex global environment. We manage application, roles, activities, documents and application relationships.
KLR Application Intelligence Platform reads application source code to analyze the fine-grained relationships among software components - objects, functions, stored procedures, database tables and columns, scripts and more. The data extracted is organized and stored in a Knowledge Base, KLR Knowledge Base. KLR Application Intelligence portals and client tools deliver Intelligence to everyone in the IT organization.
KLR's advanced source code analysis technology is designed to scale up with the complexity of software development environments. Based on dedicated Programming Language Analyzers, each analyzer parses code both on the server and client sides, performing a syntactic and semantic analysis of source code. The Reconciliation Layer allows the seamless combination of several analyzers for different languages to provide a unified view of multi-tier software applications.

ASA – Alphanumeric String Analyzer is a tool that work in internet intranet and help IT to analyze data and string. We manage string, application data and the relationships between data and IT application.
Every dataset contains some errors, and every analyst experiences a rite of passage in wasting days drawing wrong conclusions because the errors have not been first rooted out.  Up to half of the time needed for analysis is typically spent in "cleaning" the data.  This time is also, typically, underestimated.  Often, once a clean dataset is achieved, the analysis itself is quite straightforward.
Such demand is particularly feeling today in a market where the value of information is always greater but at the same time more and more complex to retrieve and to certify.  
 The data source frequently reach excessive levels of divergence and in order to guarantee their quality and utility of the users, especially those in business, they have to pass through the users themselves.
Dirty data has long been a AGE’s bugbear. But in today’s wired world, the costs and consequences of inaccurate information are rising exponentially. Throw in the complications arising from merging different data sets, as in the aftermath of a merger or acquisition, and the difficulties of data cleansing multiply.

• "The first step is to identify homonyms and synonyms," - Homonyms, are two or more different items with the same identifier. Synonyms are the same items with more than one identifier.
• Next, we employ data-profiling to crawl though the data.
• The third step is "fuzzy matching," look for duplicates and errors introduced by keyboard entry.
• Next step is data-profiling tool, which highlighted errors and inconsistencies. ASA tools provide easy-to-understand, computer-generated diagrams to spot unusual data formats that could be erroneous.
• We develop an enterprise wide view of your customers. In some cases, the demand for consistently clean data comes from the customers themselves, who want to see how their business is performing in real-time.

Even better than cleaning dirty data is making sure it can’t be soiled in the first place.