al. We are now at the crossroads where the technology that solves this problem is catching up with the ERP tools we use in our businesses. Two parallel approaches have developed to offer us different solutions—enterprise search and enterprise application search (EAS). Enterprise search allows full search of a broad spectrum of data sources ranging from content of enterprise applications, e-mail servers, intranets, and other structured or unstructured content. EAS, on the other hand, is a search function built directly into an enterprise application, allowing context-specific and general searches within the application.
Let's explore these two approaches and what they mean for those of us responsible for making the most of ERP investments.
An Historic Crossroads
Historical dates are divided into years BC, or before the birth of Jesus of Nazareth, and AD, or Anno Domini. It is not our intention to debate the mistakes that the monk Dionysius Exiguus made in arriving at the date of transition between eras, or whether the more neutral terms BCE and CE (for Before the Common Era and Common Era, respectively) are preferable. Instead, we will focus on the passing of two other historic landmarks and their implications for enterprise computing.
The first date we will focus on is the advent of the Internet, which changed computing forever.
When the US Department of Defense's Advanced Research Projects Agency Network (ARPANET) and open architecture networking first gave rise to the galactic network that we now refer to as the Internet, life online was very different than it is today. We can refer to this period as BG, or Before Google (although perhaps it would be more correct to refer to this period as BAV, or Before AltaVista). This new era started at the second date of importance here—the advent of full-text Internet search, which changed the Internet forever. In August of 1995, technicians at Digital Equipment Corporation's Western Research Lab completed the initial index of the entire Web, allowing full-text search of ten million Web pages. AltaVista, the first globally successful, text-based search engine was born—only later to be eclipsed by Google.
What is so earth-shattering about that moment? In the early days of the Web, bookmarks, portals, and Web indexes were very important in order to find what you were looking for online. The Internet had succeeded in connecting countless remote computer networks, but in order to find anything, paradoxically, you had to first know where it was. Many sites on the Internet prominently featured links pages, which were designed to be reference points thoughtfully provided by the sites' owners to make it easier for their visitors to find specific resources online. Earlier search tools required site owners to register their web sites, and then, only very narrow keywords would be searchable rather than the entire site contents. So using an early search engine, you might, at best, be able to find a site about sports history, but not specific information on how many home runs baseball great Hank Aaron accumulated during his career (775) or the number of goals Brazilian soccer great Ronaldo has scored in World Cup play. You could find sites containing information on industrial equipment, but probably would have trouble finding “for sale” listings for a used dewatering screen for your mining operation, or a rotary die cutter for your printing and converting company.
Searching within Your Own Systems
The ability to find things on the Web using powerful search tools like Google and AltaVista is a tremendous time-saver. Similar time-saving and efficiencies can also be achieved by expediting the search for information within your company's own systems—specifically, within an enterprise application.
An enterprise application is in some ways similar to the public Internet, as it connects computer data throughout your company, uniting islands of information into a single data universe. And like the Internet, the application features some type of navigation structure to help you surf between the different screens and functions. These tabs or hierarchy of screens are the equivalent of the bookmarks we used to have to navigate the Internet. To run a query on your enterprise data, you go to the correct form and run a query in the appropriate field or dialog. Just like in the early days of the Internet, to find information in your business application, you need to know where it is.
In searching for information about a particular company, you need to know whether the information you want is attached to records regarding individual companies, records on people who work for the company, or records of active projects having to do with the company. With enough knowledge of precisely how you have configured your enterprise application, you can find what you are looking for.
This search method is probably an acceptable way for frequent users of a system to search for purchase orders, or to search by supplier or customer information. But it does not work that well for the occasional user of a system, or even for a heavy user of the system who is searching an application in an area with which he or she is not intimately familiar. Because enterprise applications are so broad and cover so many different disciplines within a company, it is hard for any one person to have a thorough understanding of even a majority of an application's functionality.
That is why application vendors are coming to market with various search solutions for use within their products. There are two distinct approaches to delivering this critical search function.
In short, EAS is a tool that is tightly integrated with an enterprise application, and it delivers targeted search results from within the application's knowledge base. Enterprise search is a product marketed separately from the application, and searches data both inside and outside of the application.
Enterprise search is the approach taken by a number of technology vendors, including Google, which has launched its Google Search Appliance and Google Mini products. SAP and Oracle are each marketing their search tools as a separate product to locate data not only within their own applications, but elsewhere on a company's intranet and databases. Other vendors, including Thunderstone, Index Engines, Autonomy, Convera, FAST Search, and Verity, focus more exclusively on search tools rather than the enterprise applications they are to work with. All of these offerings can be considered examples of pure enterprise search. They are generic search appliances for use within an enterprise. The alternative strategy, EAS, involves a search function more tightly integrated with a specific application, and is a critical feature to look for in an enterprise application.
Going Further with EAS
For various reasons, very few enterprise application vendors are focusing first and foremost on delivering EAS, which offers Google-like search capabilities strictly within their own suites of applications. Some vendors may have a hard time engineering this feature into their products because they own a large number of different applications, all with different architectures. Other vendors may find that offering EAS is not an attractive option for them given their business models, as they prefer to develop broad technology stacks beyond the scope of their applications; so developing a stand-alone search appliance is more appropriate for them.
Let's explore these two approaches and what they mean for those of us responsible for making the most of ERP investments.
An Historic Crossroads
Historical dates are divided into years BC, or before the birth of Jesus of Nazareth, and AD, or Anno Domini. It is not our intention to debate the mistakes that the monk Dionysius Exiguus made in arriving at the date of transition between eras, or whether the more neutral terms BCE and CE (for Before the Common Era and Common Era, respectively) are preferable. Instead, we will focus on the passing of two other historic landmarks and their implications for enterprise computing.
The first date we will focus on is the advent of the Internet, which changed computing forever.
When the US Department of Defense's Advanced Research Projects Agency Network (ARPANET) and open architecture networking first gave rise to the galactic network that we now refer to as the Internet, life online was very different than it is today. We can refer to this period as BG, or Before Google (although perhaps it would be more correct to refer to this period as BAV, or Before AltaVista). This new era started at the second date of importance here—the advent of full-text Internet search, which changed the Internet forever. In August of 1995, technicians at Digital Equipment Corporation's Western Research Lab completed the initial index of the entire Web, allowing full-text search of ten million Web pages. AltaVista, the first globally successful, text-based search engine was born—only later to be eclipsed by Google.
What is so earth-shattering about that moment? In the early days of the Web, bookmarks, portals, and Web indexes were very important in order to find what you were looking for online. The Internet had succeeded in connecting countless remote computer networks, but in order to find anything, paradoxically, you had to first know where it was. Many sites on the Internet prominently featured links pages, which were designed to be reference points thoughtfully provided by the sites' owners to make it easier for their visitors to find specific resources online. Earlier search tools required site owners to register their web sites, and then, only very narrow keywords would be searchable rather than the entire site contents. So using an early search engine, you might, at best, be able to find a site about sports history, but not specific information on how many home runs baseball great Hank Aaron accumulated during his career (775) or the number of goals Brazilian soccer great Ronaldo has scored in World Cup play. You could find sites containing information on industrial equipment, but probably would have trouble finding “for sale” listings for a used dewatering screen for your mining operation, or a rotary die cutter for your printing and converting company.
Searching within Your Own Systems
The ability to find things on the Web using powerful search tools like Google and AltaVista is a tremendous time-saver. Similar time-saving and efficiencies can also be achieved by expediting the search for information within your company's own systems—specifically, within an enterprise application.
An enterprise application is in some ways similar to the public Internet, as it connects computer data throughout your company, uniting islands of information into a single data universe. And like the Internet, the application features some type of navigation structure to help you surf between the different screens and functions. These tabs or hierarchy of screens are the equivalent of the bookmarks we used to have to navigate the Internet. To run a query on your enterprise data, you go to the correct form and run a query in the appropriate field or dialog. Just like in the early days of the Internet, to find information in your business application, you need to know where it is.
In searching for information about a particular company, you need to know whether the information you want is attached to records regarding individual companies, records on people who work for the company, or records of active projects having to do with the company. With enough knowledge of precisely how you have configured your enterprise application, you can find what you are looking for.
This search method is probably an acceptable way for frequent users of a system to search for purchase orders, or to search by supplier or customer information. But it does not work that well for the occasional user of a system, or even for a heavy user of the system who is searching an application in an area with which he or she is not intimately familiar. Because enterprise applications are so broad and cover so many different disciplines within a company, it is hard for any one person to have a thorough understanding of even a majority of an application's functionality.
That is why application vendors are coming to market with various search solutions for use within their products. There are two distinct approaches to delivering this critical search function.
In short, EAS is a tool that is tightly integrated with an enterprise application, and it delivers targeted search results from within the application's knowledge base. Enterprise search is a product marketed separately from the application, and searches data both inside and outside of the application.
Enterprise search is the approach taken by a number of technology vendors, including Google, which has launched its Google Search Appliance and Google Mini products. SAP and Oracle are each marketing their search tools as a separate product to locate data not only within their own applications, but elsewhere on a company's intranet and databases. Other vendors, including Thunderstone, Index Engines, Autonomy, Convera, FAST Search, and Verity, focus more exclusively on search tools rather than the enterprise applications they are to work with. All of these offerings can be considered examples of pure enterprise search. They are generic search appliances for use within an enterprise. The alternative strategy, EAS, involves a search function more tightly integrated with a specific application, and is a critical feature to look for in an enterprise application.
Going Further with EAS
For various reasons, very few enterprise application vendors are focusing first and foremost on delivering EAS, which offers Google-like search capabilities strictly within their own suites of applications. Some vendors may have a hard time engineering this feature into their products because they own a large number of different applications, all with different architectures. Other vendors may find that offering EAS is not an attractive option for them given their business models, as they prefer to develop broad technology stacks beyond the scope of their applications; so developing a stand-alone search appliance is more appropriate for them.
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