Employees use between six and twelve locations for the storage of their data. Read here how you can save a lot of time and money when searching for a document.
Is it hype? Is it a phenomenon? Is it even the new gold? Big data not only means unimaginably large quantities of data. Big data also refers to the collation and evaluation of that data. Nowadays, no company can afford to go without the findings it can provide.
But how do you handle all the data that is flowing into the company through various channels? And that which is produced within the company itself on a daily basis? Solutions that help process the flood of information are required.
That begins with the search for information. How do you find specific information in scanned documents, emails, hard drives, presentations, spreadsheet calculations, videos, zip files, and much more?
Do you know where your data is?
If you’ve ever had the experience in your personal life of not being able to remember whether you received certain information in a text message, WhatsApp message or an email, you can imagine the situation: employees find it difficult to always note the correct storage location of data. No one can immediately recall where the data that is now required was stored. And if you can’t find your data, you can’t process it quickly.
On average, employees use six to twelve storage locations for their data:
- Shared enterprise drive
- VPN server
- Intranet
- Social platform of the company
- Enterprise cloud
- Private cloud
- Social media
- Desktop of a company computer
- Desktop of a private computer
- Instant messaging applications
- Browser history
Why you need an enterprise search solution
With
dokoni FIND, Konica Minolta offers an intelligent tool that casually positions itself as ‘Google for companies’. And, indeed, it works like a search engine. You simply enter a keyword into the search bar and press ‘Search’ to quickly find and access all kinds of data, regardless of format or storage location. In short:
dokoni FIND works like a full-text search on the Internet.
Never move data again
You can leave all your digital files in their original location –
dokoni FIND locates, extracts and indexes every file in real time in every data memory. However you define ‘data’: dokoni FIND is highly compatible with 300 popular file formats.
Only one access point remains
dokoni FIND automatically adds all digital data to a universal index, creating a single access point. Via this access point, users are shown all the search results for which they have authorisation. This allows them to start searches from SharePoint, from each user desktop or from the mobile app provided.
Content is converted automatically
dokoni FIND is more than just a high-quality enterprise search solution that you can use to search by metadata and file names.
dokoni FIND uses optical character recognition (OCR) to convert all other kinds of content from any file. The file is then indexed so that it is available for future searches. The entire indexing process taxes six to eight weeks when the tool is newly installed – but takes place without employees even noticing and does not disrupt everyday work at your company.
Data security is guaranteed
You can use
dokoni FIND with any
data security software that your company already uses. In this way, you can ensure that only users with access authorisations can access the data.
Employees save a lot of time with dokoni FIND, which they can then use for their core tasks. This increases employee satisfaction, work is made more efficient overall and costs for the company are reduced.
Simone Sürie, Product Manager dokoni FIND, Konica Minolta
Why you need dokoni FIND for your unstructured data
Unstructured data, structured data – what is the difference? Differentiating between the two forms is easy, but they have different influences on your company.
Structured data – as the name implies – is organised into a structure. This makes it easy to identify. A common form of structured data, for example, is an SQL database.
SQL (Structured Query Language) allows you to search certain parts of information based on columns and rows in a field. For example, you can search in all rows for a certain date, a postcode or a name – all structured data. This data is organised and can be searched in corresponding containers on the basis of the data type.
In contrast, unstructured data has no identifiable structure. It mainly comprises text, images, objects and other data types that are not part of a database. Thus, emails, for example, are also unstructured data. The messages themselves are organised in Outlook or Lotus Notes, for example, but the content of the email is a formless text without structure.
Documents are also unstructured data. Word documents may be formatted, but the content could be anything. Nowadays, the majority of the data that companies have access to is unstructured. Searching for specific data is laborious and cost-intensive – but can be immediately banished from your employees daily tasks: with the enterprise search solution
dokoni FIND.
Time spent searching for documents
All sources – one search
If you want to save time and money and increase satisfaction throughout the company,
dokoni FIND is the solution. All the files you want are available with just a click. In discussions with your customers, you have all the information you need to hand in no time. There is light at the end of the data storage tunnel. Employees can focus on their core tasks. The unstructured data is no longer cause for fear or alarm.
This means big data is no longer a situation in which you can’t find your unstructured data. With
dokoni FIND, big data becomes a structured situation where you can find everything.
When everyone can use everything
A sensible addition to
dokoni FIND is provided by a tool that makes access to all data from every location and every device possible:
dokoni FIND and
dokoni SYNC & SHARE ensure, for example, that sales employees never again have to interrupt a discussion with a customer to have documents sent from the company headquarters. The ability to comment on files and documents and to automatically send notifications to those involved increases speed and efficiency when working together on documents.
