Make data-driven decisions

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Running a Business?

It can be hard to get an accurate view of how your business is performing, especially if you are a small business with limited resources. You need data to make informed decisions about your business, but gathering that data can be expensive and Nexselligence is the solution. This powerful business intelligence tool provides you with all the data you need in an easy-to-use visual interface. With Nexselligence, you'll have a complete view of your business performance in minutes, not hours or days.

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Transform your Business through

Business Intelligence

Market and Sales Analytics

Service Delivery Analytics

Financial Analytics

Asset Analytics

Supply Chain Analytics

Customer Success

Watch below how Data Analytics changed Salama Real Estate

Frequently Asked Questions

Have a question? We got the answers!

Data analytics is the science of examining raw datasets to draw conclusions about the information they contain. It enables us to find patterns in the raw data and extract important information from them. They help businesses enhance product quality, analyze marketing campaigns, customise content, and identify customers more accurately.

Data analysts apply data analytics to modify data to assist businesses in making decisions. Data analysts develop predictions and then draw conclusions that provide insight into potential outcomes for company optimization using techniques from a variety of subject areas, mathematics, and statistics.

Analytics is a continual activity, not something you do just once or for a certain occasion. Businesses should keep analytics in mind and get ready to use it as a routine business function. Businesses start adopting a variety of strategic and general business decisions once they start to understand the potential of analytics to solve issues.

The most important resource for any analytics project is data, thus the company should ensure that it understands its consumer and business data in a systematic way. A long-term and short-term data strategy is necessary to collect the right data points in the right format. The objectives and methods for this strategy depend on the business (e.g., learn about customer or product selling strategies, or customer journey, etc.). Developing data collection methods and technological infrastructure that will enable us to store and present these data points in an understandable manner requires a certain level of expertise.

  1.  Improved Decision-Making
  2. Converts to Effective Marketing strategies
  3.   Improved Customer Service
  4. Increased Operational Efficiency

Structured data is the data that lies within a fixed field within a record or file. This can also consist of data that is included in databases or spreadsheets. Businesses will build data models that will define what types of data can be stored – this can be anything from data types like currency, alphabetic, name etc, to restrictions on the data input like character length or restrictions on certain terms like Mr or Mrs.

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You can find more documentation on how to create an account here: https://documentation.ndovucloud.com/


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