Agile Business Intelligence – The Ipiphany system consists of two parts – each dependent on the other and equally important for business success. First, of course – the software itself. AI Analyst: Can process thousands of rows of data every second to generate actionable insights and provide relevant and specific reports for relevant stakeholders in your organization.
For a moment, let’s imagine Ipiphany as a human analyst in your organization. When your analyst comes up with an insight, what do they do with it? Where is it sent, and how do you use it? Getting the insights from your data is just the first step in the process. It is only when together
Agile Business Intelligence
Let’s take a look at how the Ipiphany Agile Business Intelligence (BI) system compares to an unstructured approach:
Business Intelligence (bi) Reporting Tools & Dashboards
AI analytics provides a high level of insight that your organization can use to implement concrete changes and improve business performance. Let’s say you have an Excel spreadsheet with 10,000 rows of unstructured text responses to an NPS survey. In Excel, you discover with a few quick clicks that your NPS is too low, and with a few more clicks, that many of the low-scoring comments contain the phrase “customer service.” It would be fair to conclude at this point that there is something wrong with customer service. It’s an insight – absolutely – but it’s not actionable and too high-level to be useful. What do you do with “something is wrong with customer service”? How do you fix ‘something’?
Using Ipiphany, the same data and a few more quick clicks, your insights could look more like this:
This is a specific and actionable insight. You have enough information about a problem that many customers have to implement a solution, and you know the impact it will have on your business (in this case, measured by NPS).
Modern, Open, Enterprise Bi Platform
Imagine you asked a human analyst to classify 10,000 rows from the same set of data. How long do you think it will take? Will your analyst be able to keep up if you analyze 10,000 fresh rows of data every month? Every week? Ipiphany can analyze the amount of data well and above in less than 10 minutes. This allows you to generate reports as needed, extract relevant insights from data as requested by stakeholders, and keep a close eye on trends as they occur, rather than identifying the causes for months. Ipiphany is not a replacement for your analyst, rather it is an incredibly powerful tool that your analyst can use to gain more valuable insights from large amounts of data.
Time is money, they say; The Ipiphany Agile BI system can save your organization both. By increasing the frequency of data analysis, you open the door to more robust actions that ultimately lead to improvements in business performance. Ipiphany can process raw data in minutes, rather than days, giving you the opportunity to gather more insights, track more trends and stay on top of customer analytics than ever possible before. It gives you the power to invest in great opportunities, and the insights necessary to make data-based decisions. Here is the key
. We work with your organization to tailor the strengths of Ipiphany to your needs, and to implement business processes that will help you take advantage of the powerful insights that Ipiphany offers.
What Does Modern Analytics With Agile Deployment Look Like?
An agile approach to business is, at its core, about being able to make decisions and execute strategies quickly, efficiently and in a way that involves and benefits the entire organization. It requires constant evaluation of data that is up-to-date and relevant and requires a high level of communication between all areas of the business. With Ipiphany’s agile improvement process, you’ll be able to shift your organizational focus to a more data-driven, agile approach and reap the rewards almost immediately. It’s more than just software; It’s what you do with it that will really drive success.
Contact our team to schedule a demo with your data and find out how the Ipiphany Agile BI system can work for your business
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Roadmap To Digital Transformation
Contact our team to schedule a demo with your data, and find out how Touchpoint Group’s Agile BI system can work for your business. As a result, success stories are emerging. Armed with BI, these companies promote cost efficiency, improve inventory levels, reduce waste, improve business processes and, in general, provide data to all areas of their organization. They have what they need to succeed through interactive dashboards. Many organizations have heard these success stories and jumped on the BI bandwagon. However, recognizing the importance of data and analytics is one thing; Meeting the needs of business decision makers in the most efficient and appropriate manner is a different matter. To do this, you need to have the right processes and tools and follow best practices. We have already provided you with best BI dashboard best practices. To ensure you get the desired value from your BI investment and put you on the path to success, we’ve come up with the top 5 business intelligence best practices and the top 5 business intelligence best practices you need to know.
A disorganized BI process and failed universal adoption is a fast track to BI failure. Getting organizational buy-in is essential to maximizing BI success. It is in everyone’s best interest; Ultimately every department, especially sales, marketing, finance and management will benefit from BI. That is why the right parties should participate. The best practice involves getting CIOs and CMOs to collaborate from the start!
It’s another key stakeholder that you should involve from the start. Yes, the right SaaS BI tool doesn’t require it to do the heavy lifting. This does not mean that IT analytics should not be involved in procurement, implementation and management processes. IT and Dev teams offer valuable knowledge bases that must be leveraged. They can ensure that the appropriate security and governance measures are followed. IT is an excellent resource for knowledge retention and knowledge transfer. Finally, it doesn’t necessarily need to manage BI but should keep them in the loop.
Leveraging Competitive Intelligence Holds The Key To Success In The Modern Marketplace
Analyzing without a strategy can cost you a lot of money, time and stress. Before choosing a BI tool you need to identify the top business needs and develop a set of business needs and goals. Do not develop it in a vacuum or only at the executive level. Since you’ve been purchasing for the organization (right?!) consult with all key stakeholders, including finance, marketing, sales and operations. Finally, setting clear goals and predefined key performance indicators (KPIs) will help drive successful adoption.
Odds are there are many business questions you want answered and insights you need to gain. It’s easy to get overwhelmed when you start gathering the requirements and considering the overall size of your data. It is only acceptable when every employee immediately starts clamoring for data. This brings us to the next business intelligence best practice: start small. Start with a short list of important questions. Try to answer them with readily available data. If you end up with answers, then great. Chances are, this process will lead to more questions that you can add to your roadmap. This process will also help you figure out what data sources you need to collect, or what data you’re missing in general. When it comes to BI rollout, we are fans of Agile methodology best practices that promote an iterative approach that continuously engages stakeholders. Gather requirements and input, build, test and repeat!
Chances are that your organization, no matter the size, is collecting data around multiple business processes. The problem is that the data is often scattered across different systems and different types of software. Data can be stored in various ERP systems, CRMs, databases and Excel spreadsheets. With data spread across multiple systems, getting the information you need can be a daunting task. This is where you once again need to start small and start identifying the necessary data sources. Look at your data not as a whole but as a collection of answers to specific questions. Approach it with a question or a theory in mind and check if the data collected confirms your hypothesis. Finally, you can use data warehousing to improve performance. With the right tools, you can easily connect and connect different data sources.
Business Intelligence Strategy: Creating Your Bi Roadmap
To get your organization on board with a new BI project, you must explain the importance of data. Your organization needs to support a data culture to make your BI successful. While a
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