Big data is the most crucial part of the business operations these days. Whether in finance, retail or technology, companies have access to unprecedented volumes of data that can be used to optimise performance and inform decision making.
However, data only becomes a strategically useful asset when you can extract valuable insights from it. And that’s why you need data analytics to turn raw data into actionable insights that drive decision-making and drive positive business results.
Data analytics is what translates our streaming capabilities into personalised recommendations, our collective history into better patient care. Big data software development in USA is available at the best cost and with dedicated and skilled employees. But it is you who have to think over and choose wisely.
Of course, the volume and breadth of data we deal with today cannot be processed manually. To truly harness the power of complex data analytics and gain a competitive edge in decision-making, your company will need to invest in the right tools and software. If you are looking for data analytics software development company in USA then read further to know more.
8 Tips for Choosing the Best Data Analytics Software Development Company in USA
Data analytics platforms are a set of tools and services that support businesses in the stages of collecting, storing, cleaning, organising and modelling raw data. Modern platforms use machine learning and artificial intelligence to overcome the limits of data analysis.
A good platform will also include data visualisation tools to turn numbers into charts and graphics that are better for communicating information to relevant stakeholders.
But how do you choose among the many data analytics platforms currently available on the market? Some established and popular options today include (in no particular order): Microsoft Power BI, Sisense, Tableau, Qlik, SAP, SAS, and IBM Cognos Analytics, but there are many others.
Choosing the right platform for your company is not an easy decision – the barriers to improving data-driven efficiency are often less about the technology available than the way organisations use it. Here are seven tips to help you choose the data analytics platform that’s right for your company.
1. Identify Your Goals
This is the first and most important step. There’s no point in using new data analysis tools if you don’t know what you want to do with them. Ask yourself (and other key stakeholders): what problems do you need to solve or what opportunities do you want to discover?
When you are clear about the main goals of your data-driven business strategy, it will be much easier to create a set of tools that will actually help you achieve them. In other words, if the “right” data analytics platform is going to get you where you need to be, you first need to have a good idea of where that is.
2. Know Your Budget
Before moving to data analytics software development in USA , get to know about the budget of yours based on how long you are going to get the services. All this is calculated based on the revenue of your company and the complexity of the services you opt to choose.
So it would be better if you choose the best company and best services and plan the budget as per the services you need. Also, know about the worth of your services, whether you are investing the right amount at the right place or just wasting your time and money.
3. Understand Your Business
The second key preparatory step before choosing a data analytics platform is to understand where your business is right now. Part of this has to do with resources – specifically your financial budget, the software/tools you already use, and the capabilities of your IT team.
You also need to consider what type of data your business uses and how it fits into wider operations. Here are some questions to consider to help you find the right analytics solution for your organisation:
- Is the data generated from one consolidated source or multiple sources?
- What are your projections for data scaling over time and what kind of storage infrastructure do you have?
- How is your data handled and who is involved in this process? Do they work onsite or remotely
- What information technology and data science expertise does your team already possess, and where might you be lacking?
- What standards for data handling security and privacy does your company have?
4. Think About the User
When choosing a platform, you need to consider who in the company will use it and for what. Are they experienced data scientists and engineers who can run complex and ad hoc models to gain insight? Or would you be better served by a simplified platform that is intuitive enough for non-technical stakeholders to perform basic data set analyses?
In both cases, the platform should provide support for data visualisation tools to present statistics to all stakeholders in an engaging way. Another consideration is whether you want a stand-alone data analytics platform or an integrated solution that allows users to access analytics through applications they already know.
5. Explore What’s on Offer
Once you’ve made sure you understand your internal business needs and capabilities, it’s time to explore what data analytics platform providers have to offer and see what fits your needs.
You can compare features such as speed of implementation, user interface, data modelling and visualisation capabilities, remote/mobile work capabilities, dashboard/reporting user interface, and security standards. Also check if the providers are appropriate for your geographic location (eg regulatory requirements) and what customer support packages they offer.
6. Look at Existing Use Cases
It’s always good to look around the wider industry. Do your research to find out what data analytics tools other businesses are using to solve problems, streamline performance and create new business opportunities.
In addition to helping you define what your needs might be, this approach also gives you useful real-world references for specific analytics platforms and providers.
7. Be Perspective
While you may have short-term priorities when it comes to data analytics, you need to look ahead when choosing a platform. Any solution must be implemented with scalability in mind to handle larger data sets and integrate new data sources into analytics as the business grows.
For example, cloud-based data analytics platforms may be better suited for startups with a limited initial budget for data management, but need a solution that can scale quickly as needed. Also remember that changing analytics platforms in the future can be expensive and complicated, so keep your longer-term strategy and ambitions in mind when choosing a solution.
8. Be Aaware of Pricing Details
Different data analytics platforms use different fee structures, so it’s important to be fully aware of all the costs associated with your solution. This means checking the details of subscription pricing, licensing, user limits and any “hidden fees” while keeping an eye on how these costs may change as you grow your business.
Rundown
We hope this blog seems to be of great help to you in finding the best data analytics platform for your company. Remember, if you need to expand your organisation’s IT capabilities or fill a specific data analytics skills gap,
we at Kodehash can connect you with the best tech talent in Latin America. Just contact us to find out more about our nearshoring and our big data software development services in USA.