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Privacy Policy

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Privacy Policy

  • Ahmed elgammal
  • 18 Jul, 2019

This page informs you of our policies regarding the collection, use, and disclosure of personal data when you use our Service and the choices you have associated with that data.

We use your data to provide and improve the Service. By using the Service, you agree to the collection and use of information in accordance with this policy. Unless otherwise defined in this Privacy Policy, terms used in this Privacy Policy have the same meanings as in our Terms and Conditions, accessible from

Information Collection And Use

We collect several different types of information for various purposes to provide and improve our Service to you.

Types of Data Collected

Personal Data

While using our Service, we may ask you to provide us with certain personally identifiable information that can be used to contact or identify you ("Personal Data"). Personally identifiable information may include, but is not limited to:

  • Email address
  • First name and last name
  • Phone number
  • Cookies and Usage Data

Usage Data

We may also collect information how the Service is accessed and used ("Usage Data"). This Usage Data may include information such as your computer's Internet Protocol address (e.g. IP address), browser type, browser version, the pages of our Service that you visit, the time and date of your visit, the time spent on those pages, unique device identifiers and other diagnostic data.

Tracking & Cookies Data

We use cookies and similar tracking technologies to track the activity on our Service and hold certain information.

Cookies are files with small amount of data which may include an anonymous unique identifier. Cookies are sent to your browser from a website and stored on your device. Tracking technologies also used are beacons, tags, and scripts to collect and track information and to improve and analyze our Service.

You can instruct your browser to refuse all cookies or to indicate when a cookie is being sent. However, if you do not accept cookies, you may not be able to use some portions of our Service.

Examples of Cookies we use:

  • Session Cookies. We use Session Cookies to operate our Service.
  • Preference Cookies. We use Preference Cookies to remember your preferences and various settings.
  • Security Cookies. We use Security Cookies for security purposes.

Use of Data

KN uses the collected data for various purposes:

  • To provide and maintain the Service
  • To notify you about changes to our Service
  • To allow you to participate in interactive features of our Service when you choose to do so
  • To provide customer care and support
  • To provide analysis or valuable information so that we can improve the Service
  • To monitor the usage of the Service
  • To detect, prevent and address technical issues

Transfer Of Data

Your information, including Personal Data, may be transferred to โ€” and maintained on โ€” computers located outside of your state, province, country or other governmental jurisdiction where the data protection laws may differ than those from your jurisdiction.

If you are located outside Egypt and choose to provide information to us, please note that we transfer the data, including Personal Data, to Egypt and process it there.

Your consent to this Privacy Policy followed by your submission of such information represents your agreement to that transfer.

KN will take all steps reasonably necessary to ensure that your data is treated securely and in accordance with this Privacy Policy and no transfer of your Personal Data will take place to an organization or a country unless there are adequate controls in place including the security of your data and other personal information.

Disclosure Of Data

Legal Requirements

KN may disclose your Personal Data in the good faith belief that such action is necessary to:

  • To comply with a legal obligation
  • To protect and defend the rights or property of KN
  • To prevent or investigate possible wrongdoing in connection with the Service
  • To protect the personal safety of users of the Service or the public
  • To protect against legal liability

Security Of Data

The security of your data is important to us, but remember that no method of transmission over the Internet, or method of electronic storage is 100% secure. While we strive to use commercially acceptable means to protect your Personal Data, we cannot guarantee its absolute security.

Service Providers

We may employ third party companies and individuals to facilitate our Service ("Service Providers"), to provide the Service on our behalf, to perform Service-related services or to assist us in analyzing how our Service is used.

These third parties have access to your Personal Data only to perform these tasks on our behalf and are obligated not to disclose or use it for any other purpose.

Links To Other Sites

Our Service may contain links to other sites that are not operated by us. If you click on a third party link, you will be directed to that third party's site. We strongly advise you to review the Privacy Policy of every site you visit.

We have no control over and assume no responsibility for the content, privacy policies or practices of any third party sites or services.

Children's Privacy

Our Service does not address anyone under the age of 18 ("Children").

We do not knowingly collect personally identifiable information from anyone under the age of 18. If you are a parent or guardian and you are aware that your Children has provided us with Personal Data, please contact us. If we become aware that we have collected Personal Data from children without verification of parental consent, we take steps to remove that information from our servers.

Changes To This Privacy Policy

We may update our Privacy Policy from time to time. We will notify you of any changes by posting the new Privacy Policy on this page.

We will let you know via email and/or a prominent notice on our Service, prior to the change becoming effective and update the "effective date" at the top of this Privacy Policy.

You are advised to review this Privacy Policy periodically for any changes. Changes to this Privacy Policy are effective when they are posted on this page.

Contact Us

If you have any questions about this Privacy Policy, please contact us:

  • By email: This email address is being protected from spambots. You need JavaScript enabled to view it.

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Working from home (WFH) is something new for so many people, companies and we can say countries. Something that has taken all of us by surprise. It impacts communication and may leave some employees feeling disconnected and unsure about their results.

Saleh also added that the sure thing is, it is not for everyone! So, it's important to consider some advantages and disadvantages before you make it a part of your work process.

1- The Flexibility: When we work from home, while we still have to meet our deadlines and be available when we say we will be, we generally have wider space and time to tend to other non-work responsibilities.
2- Increased productivity: Being able to step away from our work when we feel like we need a break can help us stay motivated and reduce burn-out.
3- More independence: Working from home can provide independence in our job that might be absent in a physical workplace
4- There is no commute. Not having a long commute to and from work can save us time and money.

1- Home Distractions: Too many distractions can decrease our productivity and motivation. WFH needs a lot of self-discipline
2- Increased isolation: Working all day without access to coworkers and colleagues can be very isolating and lonely.
3- There's less ad hoc learning. In the office, we are constantly in a position to learn from each other
4- It is easy to misread cues via electronic communications

WFH has some benefits but it might be not the perfect situation. Understanding the reasons behind facilitating WFH can help in learning how to apply it successfully.

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The Anatomy Of Data Quality Management

Many databases are not error-free, and some contain a surprisingly large number of errors .

A recent industry report, delivered by Richard Y. Wang, Director of the MIT Chief Data Officer and Information Quality (CDOIQ) Program, notes that more than 60 percent of the surveyed firms (500 medium-size corporations with annual sales of more than $20 million) have problems with data quality.

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Almost all of the businesses are exposed to numerous amount of critical data that grows and multiplies over the passage of time. Companies that are inundated with data on a regular basis, this data normally contains essential information of every type including budgetary figures, product details, customer details and a lot more. Data management indeed requires a lot of dedication and supervision and most of the businesses fail due to having lack of knowledge, Here, we throw some light on complicated data quality issues and share tips on how to excel in resolving them.


Based on our best practice over 20 years of developing data quality solutions, can include the term of โ€œ Data Fitness โ€œ

the concept of fitness for use from the quality literature, and our experiences with data consumers, we recommend conceptual framework for data quality that includes the following aspects:

โ€ข The data must be accessible to the data consumer. For example, the consumer knows how to retrieve the data.
โ€ข The consumer must be able to interpret the data. For example, the data are not represented in a foreign language.
โ€ข The data must be relevant to the consumer. For example, data are relevant and timely for use by the data consumer in the decision-making process.
โ€ข The consumer must find the data accurate. For example, the data are correct, objective and come from reputable sources.

Now, Why poor data quality is a problem ?

first of all, let`s spot the 5 major characteristics of poor data quality, on a different term, how can you say that this or that piece of data is a poor one!

1- Incomplete Data
2- Ambiguous Data
3- Duplicated Data
4- Outdated Data
5- Late Data Entry/Update

Ok, the experience is totally different when using our DNX ( Datability Ninety X ) as we define each and every item of the data processed to ensure they are matching the ultimate qualities with detailed attributes score

Where making use of poor quality and badly managed data takes place, it leaves a huge impact towards management decisions. Believing that the big data changes quiet dramatically, a lot is sometimes gathered in an unstructured form such as in distinctive incompatible formats, through social media updates and a lot more. When the data recorded on a regular basis is incomplete, incorrect or contradictory despite the fact what industry a firm operates in, reducing the usefulness of data leaves a major impact. With regards to the banking sector, maintenance of poor quality data may let the customers avail poor experience. This is why it is essential to have your data receive perfect data quality platform made a complete ease of plug and play experience for banking.

โ€œWhere the use of poor quality data takes place, it is said that businesses suffer up to 25% during the decision-making processโ€

Again it`s seamless experience if you are using DNX ( Datability Ninety X ) as it provides the organization with both diagrammatic and numeric charts that consists of lots of indicators helping you to figure it all out such as ( data issue type, data quality severity level, data quality score summary and data quality dimensions โ€ฆ. Etc )

Finally Gartner itself named the main features your organization should look for when they are seeking to acquire Data Quality management platform and proudly we can address DNX ( Datability Ninety X ) as a platform that full-marked by Gartner, and here`s Gartner full list :

๏‚ง Parsing and standardization to break the data into components and bring them to a unified format.
๏‚ง Cleaning tool to remove incorrect or duplicated data entries or modify the values to meet certain rules and standards.
๏‚ง Matching tool to integrate or merge closely related data records.
๏‚ง Profiling tool to gather stats about data and later use it for data quality assessment.
๏‚ง Monitoring tool to control the status-quo of data quality.
๏‚ง Enrichment tool to bring in external data and integrate it into the existing data.

How Datability Ninety X from Knowledgenet works?

Having in mind data quality platform, DNX is referred to as one of the useful products or an end to end platform which adds more of the flexibility to be adapted by any business needs and works in any environment. It comprises of a software engine which combines with the predefined quality data rule book, integrated with the processes for top-quality management along with monitoring dashboard and alerting service which aims to maintain the quality of data, making availability via both the analytical and operational system. This data quality management system is further referred as an excellent one for banks as it has already made rule book and scenarios dictionary. Hence, referred as a plug and play platform. The software requires minimum development which is required to run and then be maintained

Meet DNX

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