Data

why you need to analyze data Benefits Concept

Benefits of Data Analytics

Posted by on Jan 21, 2019 in business, Data, LocationForms
No Comments

benefits of data analytics

Data analysis is a process of examining, inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and support decision-making, increasingly with the aid of specialized systems and software.

 

Why We Need to Analyze Data

  1. We need to analyze data in order to make the best out of information.
  2. To improve efficiency and flexibility in business.
  1. To help make better decisions.

 

Techniques/How to Analyze Data

how to analyze data

  1. Define Objectives: Any study must begin with a set of clearly defined business objectives.
  2. Pose Questions: To ask a question in the problem domain is very important.
  3. Collect Data: Data relevant to the question must be collected from the appropriate sources. When data is being collected using surveys, a questionnaire to be presented to the subjects is needed.
  4. Data Wrangling: Raw data may be collected in several different formats. The collected data must be cleaned and converted so that data analysis tools can import it.
  5. Data Analysis: This is the step where the cleaned and aggregated data is imported into analysis tools. These tools allow you to explore the data, find patterns in it, and ask and answer what-if questions.
  6. Drawing Conclusions and Making Predictions: This is the step where, after sufficient analysis, conclusions can be drawn from the data and appropriate predictions can be made. These conclusions and predictions may then be summarized in a report delivered to end-users.

 

Benefits of data analytics

benefits of data analysis

  1. Understanding of customers proactive and anticipating needs.
  2. It helps in delivering relevant products.
  3. Personalization, professionalization and service.
  4. Clearer foresight.
  5. Optimizing and improving operational efficiency.
  6. Increasing awareness of risk and fraud.
  7. Provides up-to-date information.
  8. Interactive sessions.
  9. Reduces costs and increase profits.

At LocationForms we provide you with effective and timely means of receiving all kinds of information remotely from anywhere in the world.

LocationForms is a mobile and webapp base platform designed specifically to gather location based information from the public. Information received through this platform is presented in an easily analyzable format and of maximum security with no external access. Click here to know all about LocationForms.

 

108 total views, no views today

Importance of Data Quality

Posted by on Jan 8, 2019 in Data, LocationForms, LocationForms App, Uncategorized
No Comments

Data is defined as facts or figures, or information which has been translated into a form that is efficient for movement or processing and stored for use. Data collection is a process by which data is gathered and measured.

Without data collection, companies would stumble around in the dark using outdated methods to make their decisions. It is through data collection that a business or management has the quality information they need to make informed decisions from further analysis, study, and research. Hence, we need quality data.

Why we Need Data

  • To ensure everyone meets their developmental potential.
  • To predict the future.
  • To inform early development policies and strategies.
  • To guide universal and targeted early intervention services and development.
  • To evaluate the effectiveness of our efforts to improve outcomes.
  • To monitor progress over time in improving outcomes.
  • If you use it correctly, you can make it a considerable competitive advantage.

Why we Need Quality Data

Data are of high quality if they are Fit for Use in their intended operational, decision-making and other roles. Maintaining data quality is a difficult but necessary task. In order to achieve consistent and reliable customer data, businesses must constantly manage data quality so that they can trust their data and enable quicker and more knowledgeable decisions.

  1. Data quality is important because without high-quality data, you cannot understand or stay in contact with your customers.
  2. To have accurate and timely information to manage services and accountability.
  3. For good information to manage service effectiveness.
  4. To prioritize and ensure the best use of resources
  5. The better the data quality, the more confidence users will have in the outputs they produce, lowering risk in the outcomes and increasing efficiency.
  6. Good-quality data allows staff to be more productive.

Properties of Quality Data

  • Completeness.
  • Consistency.
  • Accuracy.
  • Validity.
  • Timeliness.
  • Relevance.
  • Comparability.

How to Make/Measure data to be of Quality

  1. Keep bad data out of the database/list.
  2. Data collected must be secure and should only be used for authorized purposes.
  3. Looking for bad data already entered.
  4. Let the bad data find you and then fix things.
  5. Train staffs so they have the appropriate knowledge, competencies and capacity for their roles.
  6. Allocating resources.

At LocationForms we provide you with effective and timely means of receiving all kinds of information remotely from anywhere in the world.

LocationForms is a mobile and web app base platform designed specifically to gather location based information from the public. Information received through this platform is presented in an easily analyzable format and of maximum security with no external access. Click here to know all about LocationForms.

159 total views, 1 views today