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At a customer meeting last week, we heard, "I needed to retrieve Wilson's proposal, but I had to walk around two screens of results before I could locate the document I wanted." We took a quick look and saw that the document creator set uncontrolled free text index terms. The specific conditions were a "cement deal" and a state request for a proposal ID number. The content management system specifies the document creator name, creation date, file type, and indexing of words in the document. The user wanted to locate the "Wilson Proposal" and did not know the term "cement deal" or thought about the search by the RFP number.

I thought about this popular situation when I read a news story published on Real Wire. The writing had a headline that caught my attention: "OSS / BSS data imbalance is causing chaos for customer service providers." To be honest, I had no idea what BSS or CSP was. I realized that open source software was related to any of the information or open source. To me, the hijacker was "data dysfunction." I dived in.

First, OSS is an acronym for a company called Ontology Systems. Wrong about open source, but right about reference information. Located in London, the company has a program that "creates a hypothetical unified model of key relationships that define critical global concepts such as customers, services, and network infrastructure." According to his website:

"The semantic reuse of existing data makes it possible to obtain results in" intensified integration "areas such as service management, revenue assurance and data alignment in schedules ranging from 3 weeks to 3 months."

The company defines Ontology as a readable, structured, and publicized computer representation of concepts and their relationships. We think this is a useful definition. The idea is that ontology allows communication through existing and dirty data in silos and systems. The method can be used in the military, bioinformatics, and data union. The company provides a search solution!

CSP abbreviated me. After some pasta, I decided that CSP was short for Customer Service Provider. One idea appeared in publishing ontology on its website as there were references to "service providers". The writing used the phrase "service provider" and then listed the Internet service provider, Internet service providers, and MSP. I think defining shortcuts is useful.

Now I was ready to address the term "data disruption". After reading more about ontology systems' approach, I decided that "data misalignment" is related to the normalization of domain names and other types of cleaning work required when converting content or processing unorganized documents into structured documents. There are a number of different methods, but regardless of the tactic, some housekeeping is usually needed.

OSS approach is to focus on the problems that cause data dysfunction. Examples range from resolving billing disputes, identifying "pending assets" that I do not fully understand and performing audits.

Note the discussion of data alignment, which is the other side of data misalignment. Ontology systems define these three examples. First, standardize topology. The idea is to apply the company’s method to the network infrastructure in order to know what connects Ayna. Second, the company's approach allows for "CRM consolidation". The idea is that "differentiated offers of customers and products" can be reconciled. The idea is that Ontology Systems' approach allows "360 ° customer view". Finally, data alignment can help ensure "service alignment". I liked the phrase "You get what you experience." The idea is that Ontology Systems' method "is the first system capable of effectively monitoring service alignment in order to enhance continuous quality across service provider infrastructure."

Well, I have now discovered what the ontology systems focus on. Let's look at the survey report. Some data is relevant to our use of industry standard methods of eliminating difficult problems in building lists of controlled terminology, ontologies (I would venture to use the word without more sophisticated connotations), and indexing information objects.

There were three main results I saw related to Access Innovations' business.

First, in the survey sample, 96 percent of respondents had operational or financial implications from incorrect data.

Second, there was an imbalance of data in accounting, which had an impact on the company's finances.

Third, 37% of study participants spent over $ 500,000 on data processing.

I have had several notes during my work with search results:

1. Indexing and tagging not only helps users find information, there are also broader business implications
2. It seems that the amount of money companies spend on aligning data is higher than I knew
3. Writing terminology on indexing, ontology and data is very confusing.

We want to clarify what we do, and we will try to avoid misleading currencies, unspecified abbreviations and business school terms. We know indexing and we know that our methods are world class. Our solutions improve searchability but provide the benefits documented in the questionnaire.

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