What is “big data”?
Big Data refers to the recent growth in data available to businesses. Data comes from many sources, and when combined, can help answer important business questions. Through the mastery of big data management techniques, businesses can gain an edge over their competition.
What is a data model?
A data model is a way of organizing the fields in your data to mirror the actual people, places, events, and activities you encounter in your business every day.
The data model for every business is as unique as that business. A good data model contains all of the facts, attributes, entities, and features, appropriately structured, used to accurately report on how your business is performing and help it plan for the future.
What does a data model contain?
In most businesses, data is spread across multiple systems. Customer Data, for example, is often housed in multiple places, in different formats, like CRM, Marketing systems, ERP, Support, and Survey systems, The problem is that each of these systems only provides a small sliver into what’s going on inside your business around your customers. This “Siloing” of data is what leads to inaccurate understandings and poor quality decision-making
Enter the Data Model. A data model is a way of organizing your data into a structure where the silos are removed and you can view all of your data about a subject in one place, the way you actually think about it in your mind.
By combining all of this separate data into a single data model, you can visually see your data in the way your business is actually organized.
Concepts like Integrated Customer View and Integrated Prospect View are examples of data models designed to let you see everything your business knows about a customer or prospect; how they found you, how much business they’re doing, how satisfied they are, etc.
What is data monetization?
Data Monetization is an exciting and emerging new revenue opportunity around getting economic value out of data assets your organization already has. With Data Monetization, businesses and organizations create valuable new revenue and profit streams by providing curated analytics to various audiences that are based on data they’ve already collected.
To get into Data Monetization, you need Data Monetization tools (like Inzata) that produce curated analytics. Inzata’s data monetization tools also manage the secure access to these data assets, and enable you to launch fee-based access to these analytic. Inzata has tools to manage this entire process for you, from the loading and organizing of your data to the delivery of real-time insights to your customers and subscribers. Inzata guarantees the security and privacy of your data.
Isn’t Data Monetization the same as selling my data?
No. In fact, we don’t recommend you sell your data. You worked hard to get it and it’s a valuable asset for you. Data Monetization is focused on offering access to the insights your data can provide to your target audience. Your core data is never sold or traded. Your buyers see trends and other useful information that they are willing to purchase to answer questions about their own, similar data.
Types of Monetization
Internal Data Monetization:
Internal Data Monetization is the harvesting of economic value through the use of information from inside the enterprise. It is the most commonly practiced form of Data Monetization in use today. Internal Data Monetization consists of analyzing and using collected business data to improve business decision-making, avoid risks, optimize KPIs. If you can quantify the economic value received from these practices, then you’re already getting benefits from Internal Data Monetization.
External Data Monetization:
External Data Monetization involves getting paid for the economic value the analytics produced from your data would bring to parties outside of your immediate enterprise.
Businesses today are desperate for high-quality, reliable information on topics they care about. They will pay high prices for credible, curated sources of intelligence.
Your business is probably collecting data that can easily be analyzed and curated to meet this significant market demand. Companies are finding valuable assets among data they are already collecting and storing, as long as it’s packaged appropriately and marketed to the right audience.
Why is Inzata different?
Inzata is the only platform with a powerful AI assistant to organize, blend and model raw data from any source. This means Inzata lets you go from raw data to beautiful analytics in minutes rather than weeks and months. It is more than 100 times faster than other data analysis tools in modeling and blending raw data into useful business models, that let you create precisely the visualizations, charts and dashboards and predictive tools your business wants to see.
Who would use Inzata?
Just about anyone in your organization! Inzata does not require a technical background. Among our clients, we have everyone from new interns right up to CEOs using it. Inzata takes only about 30 minutes to learn and start using. Inzata is “drag-and-drop”; all you need is a web browser. Online walkthroughs are available to get you started and we also offer more in-depth online learning courses and live training to help you get the most out of your data with Inzata.
How does Inzata compare to Tableau and other Data Visualization and Dashboarding tools?
Most other data visualization tools are just that, data visualization tools. So unless your data is perfectly clean and structured and in just a single file they struggle. Many of these tools are trying to implement ways of addressing this issue but this is an afterthought to them. With Inzata we have focused on being the full-stack solution you need; from data preparation, to data quality and modeling, and then finally the data visualizations with your now prepped data.
Can Inzata integrate with *insert popular applications*?
Yes, we can! Inzata is built to be able to pull in data from anywhere using many different methods from flat files to active streaming IoT data.
Inzata is also built to be able to get your data back out to other platforms or processes you use. You’re able to export data as anything from CSVs to a managed SQL database without any additional tools.
How does Inzata’s AI work?
Inzata uses advanced AI to profile and evaluate the data you connect to it. In this way, Inzata gets to know your data and helps you organize it up to 100x faster than manual methods. Inzata’s AI uses an array of descriptive statistics to look for logical “overlap” points within your data, fields that can be used to connect various datasets together, faster than any other data analytics tools on the market.
What kind of data does Inzata work with?
Almost any data can be used for analysis with Inzata! You can upload anything from IoT data, log file data, transactional data, or even custom database data.
How does Inzata keep my data secure?
Inzata employs multi-layered security techniques to ensure your data is kept private and secure. Inzata offers row-level security, data encryption, and multi-factor authentication, among others.
What kind of data can I load into Inzata?
Just about any kind of digital data can be loads. Structured, semi-structured, SQL data, data in CSV, Excel, Google Sheets. Inzata even connects to streaming data sources like IoT device feeds, real-time POS data feeds, and social media streams. One of Inzata’s key features is bringing all of your data together so you can see the true picture of what’s going on in your business.
Is Inzata only available in the cloud?
While Inzata was built for the cloud, it is also available as an on-premises deployment via appliance as well as directly installed in your data center. Contact us to find out more.
How do I access Inzata?
Inzata is accessible via a web browser or mobile device. Since it’s hosted in the cloud, it’s always available and can be accessed securely from wherever you are.
How does Inzata work?
Inzata connects directly to your source data, organizes it into visual models, and lets you start building charts, reports and dashboards faster than any other Data Analytics Software. These visualizations can then be shared across your business to help people see a single version of the truth about what matters to your business.
Inzata is an all-in-one Data Analysis and Data Visualization suite. All you need to bring is your data. Inzata can connect to SQL databases, cloud data lakes, and directly to over 200 applications like Salesforce, Hubspot, Google Analytics and Facebook Ad manager.
Do I need to know SQL to use Inzata?
No! Inzata is a visual drag-and-drop interface. It organizes, integrates and displays your data in a visual format allowing you to work with your data visually to produce beautiful data visualizations, charts, graphs and dashboards, then share them across your organization.
What can data analytics do for my business?
Data analytics opens up a multitude of business opportunities for your business. You can leverage your data to improve marketing and sales, improve internal process efficiency, discover new business patterns, or even create brand new revenue streams!
What does a good business strategy using analytics look like?
The two main use cases for Data Analytics are 1) Business Intelligence and 2) improving business decision-making. Business Intelligence helps you understand what is currently happening in your organization. Predictive analytics and data science begin to help you understand and predict what will happen, so you can make better decisions. Together, these provide some very powerful techniques that will help your business become more data-driven.
What kind of data is needed for analysis?
Virtually any data can be suitable for analysis. Most businesses start with data on things that are most important to them: Customers, products, sales, operations.
What is the difference between structured and unstructured data?
Structured data is any data that is organized in a consistent way, think of your standard CSV file that has headers and columns and rows. This sort of data is the easiest to handle however is not as common as one may think. What’s more common is Semi-structured data. Semi-structured data is data that has an underlying structure but isn’t really human-readable. These are things like log files or streaming IoT data.
Unstructured data is things like PDF scans. For data like this in most cases the data has to be transcribed to some other format in order to be readable by any software.
How much data can I load/upload?
As much as you need or want. There really is no upper limit, companies have used Inzata to analyze datasets numbering into multiple terabytes and billions of rows. Because of its ultra-high performance cloud engine, Inzata processes very large datasets up to 5x faster than other cloud data warehouses.