Every day, decisions are made by businesses, governments, and non-profit organizations based on data that has been collected and analyzed. If there are faults or mistakes in the analysis of this data, the resulting decisions could have detrimental effects.
There are several reasons why mistakes in data analysis happen; from staff not having appropriate knowledge and training, to time constraints, and lack of suitable software. Using an open source analytics platform can alleviate these potential problems and aid your organization in making informed decisions.
The platform or solution you choose and its associated costs will depend on your organization and its particular needs.
Organizations Have Specific Analytic Needs
Organizations and Government agencies do not just vary in terms of size and focus. They also differ in the type of environment in which they work. Certain environments, such as labs, have very specific needs, especially in relation to the type and size of the data with which they work. These organizations need very flexible and scalable platforms to deal effectively with their particular data sets.
Working with any form of data can be time consuming, and it can be deflating to work long term only to find that solutions have not been adequately tested. Using a platform specifically designed for your needs takes away this problem. It also means that your data is being handled and analyzed by professionals with expertise in your type of data.
Choosing The Right Analytics Platform
The amount of information being created on a daily basis is making it increasingly difficult for organizations to make informed decisions. As a result, people are relying on structured data to make critical decisions. Relying on only structured data leads to incomplete information resulting in risky decision making. 
Today, you need to be able to access and understand both structured and unstructured data to be able to answer your toughest questions. A platform, like Ikanow’s, that can connect, enrich, and analyze both unstructured and structured data could be the best option for you.
Whatever your decision is the platform selected should be self-supported and easily integrate with various data sources and third party applications, providing organizations with an all-in-one solution.
Cost Considerations for an Open Source Analytics Platform
Costs for these types of solutions can vary greatly. Before trying to figure out how much it’s going to cost your organization, determine why you need an analytical platform. What problem are you looking to solve? How does this problem impact your business? If solved, can I measure the value of this platform? Knowing this can help improve the decision making process and set the budget.
Now before you ask “how much?”, you should ask “could this solution meet our needs and provide a measurable value?”. At Ikanow, we cannot stress enough how important it is for us to clearly understand the issue, how it’s impacting your business, and how important it is for you to solve. If we can’t define this, we won’t move forward with the project.
A few things to consider when pricing out an analytics platform:
- Is this going to be hosted or on-premise?
- What data is needed to solve this problem? Is there an additional cost to get this data?
- How much data is needed? How many servers would be required to support?
- How often does the data need to be ingested into the platform/solution?
- Do you have the staff to support this solution?
- How easy is this platform to (1) install, (2) configure, (3) connect/ingest data and other applications?
- What is the value this platform can/will bring to your organization? Can you measure this?
There are many factors that go into deciding which analytics platform is best for your organization. Before deciding, make sure you ask yourself the questions above. If your organization or agency is at risk because you don’t have an analytics platform implemented (or one that solves your most pressing needs), let us know. We’d be happy to learn more and see if Ikanow is a fit.
Interested in receiving quarterly newsletters from IKANOW?
Learn more from IKANOW:
Visit the Resource Center
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How Much Does an Open Source Analytics Platform Cost?
Every day, decisions are made by businesses, governments, and non-profit organizations based on data that has been collected and analyzed. If there are faults or mistakes in the analysis of this data, the resulting decisions could have detrimental effects.
There are several reasons why mistakes in data analysis happen; from staff not having appropriate knowledge and training, to time constraints, and lack of suitable software. Using an open source analytics platform can alleviate these potential problems and aid your organization in making informed decisions.
The platform or solution you choose and its associated costs will depend on your organization and its particular needs.
Organizations Have Specific Analytic Needs
Organizations and Government agencies do not just vary in terms of size and focus. They also differ in the type of environment in which they work. Certain environments, such as labs, have very specific needs, especially in relation to the type and size of the data with which they work. These organizations need very flexible and scalable platforms to deal effectively with their particular data sets.
Working with any form of data can be time consuming, and it can be deflating to work long term only to find that solutions have not been adequately tested. Using a platform specifically designed for your needs takes away this problem. It also means that your data is being handled and analyzed by professionals with expertise in your type of data.
Choosing The Right Analytics Platform
The amount of information being created on a daily basis is making it increasingly difficult for organizations to make informed decisions. As a result, people are relying on structured data to make critical decisions. Relying on only structured data leads to incomplete information resulting in risky decision making.
Today, you need to be able to access and understand both structured and unstructured data to be able to answer your toughest questions. A platform, like Ikanow’s, that can connect, enrich, and analyze both unstructured and structured data could be the best option for you.
Whatever your decision is the platform selected should be self-supported and easily integrate with various data sources and third party applications, providing organizations with an all-in-one solution.
Cost Considerations for an Open Source Analytics Platform
Costs for these types of solutions can vary greatly. Before trying to figure out how much it’s going to cost your organization, determine why you need an analytical platform. What problem are you looking to solve? How does this problem impact your business? If solved, can I measure the value of this platform? Knowing this can help improve the decision making process and set the budget.
Now before you ask “how much?”, you should ask “could this solution meet our needs and provide a measurable value?”. At Ikanow, we cannot stress enough how important it is for us to clearly understand the issue, how it’s impacting your business, and how important it is for you to solve. If we can’t define this, we won’t move forward with the project.
A few things to consider when pricing out an analytics platform:
There are many factors that go into deciding which analytics platform is best for your organization. Before deciding, make sure you ask yourself the questions above. If your organization or agency is at risk because you don’t have an analytics platform implemented (or one that solves your most pressing needs), let us know. We’d be happy to learn more and see if Ikanow is a fit.
Interested in receiving quarterly newsletters from IKANOW?
Learn more from IKANOW:
Visit the Resource Center