Healthcare Analytics

Ep26 - Analytics Roadmapping 4 - Establishing Milestones & Timelines According to HBR, one in six projects at IBM are 200% over budget and has overrun their schedule by 70%.  Milestones and timelines are essential for leading a successful analytics project. We will share three best practices that can improve the success rate of your projects. Communicate expectations up-front Meet regularly wi...

Gathering Core Requirements is the first step in the Analytics Roadmapping process. If you put in the work ahead of time to determine what you need, then it will be easier to implement as your project continues. So do yourself a favor and put in the time to gather core requirements so that you don’t have to re-work any part of the project as it is being implemented. This podcast is hosted by Caleb...

In order to create an analytics roadmap, you first need to define three core strategies that can guide your organization. These three core strategies allow you, your team, and your organization dedicates resources to the technology projects that have the greatest impact. IT Strategy Data Management Strategy KPI (Key Performance Indicator) Strategy

In the intro to our first series about Analytics roadmapping, we explain why you should begin with the end in mind. This series is the intro for these topics: Why you should develop an analytics roadmap Articulating the key components of your analytics platform Defining key strategies Bringing the key stakeholders on board the project Techniques and tools for creating your analytics roadmap This p...

Today, most reporting systems are build using Microsoft Excel or other spreadsheet tools. You can elevate your capabilities as a leader by upgrading your reporting system and using reporting tools that are automated, robust, and dynamic.

Data pipelines are one of the best investments you can make in your organization. It can save time and increase the amount of data you can access to make better decisions. Building a data pipeline requires a data source, a place to store the data, and a mechanism to move the data from the source to your internal storage.

Cloud computing is a model of accessing shared hardware and software resources. Ultimately, it allows you to use storage and computation without owning and operating it yourself. You can use cloud storage and cloud computing to store data and create applications without owning the hardware needed to support your work. Follow us on Twitter or Linkedin  

How can you implement technology across your company? We have found that there are two different systems you need to keep in mind; The agile development process that quickly implements feedback from internal users The technology implementation process involves internal marketing, defining a power group, and training on the new piece of technology. These two systems work together to improve outcome...

In 2012, Google discovered that one of the most effective measures of successful teams involved a term that they called “Psychological Safety”. They learned that the most effective teams allowed their team members to express ideas that contributed to the goals of the team and company. In this episode, you will learn how empathy plays a role in creating an environment that promotes psychological sa...

According to a survey by Inc Magazine, 50% of employees would look for a new job if their employee doesn’t provide a hybrid workspace. Hybrid workspaces can allow employees to improve their performance by creating a work environment that fits their needs. In this episode, we will talk about how to implement a Hybrid workspace model within your team and company.

Building a data analytics platform gives you and your organization to scale. These three key metrics will improve your relationship with data. Planning  Development  Maintenance and refinement

How can you as a leader improve the performance of your team? In this episode, we cover three different questions that will lead you to improve the performance of your team. We also explain how individual performance can contribute to achieving excellent performance as a team.

Many are worried that their time working from home is ending soon and imagine dragging themselves to the office. For start-ups where each team members’ performances directly connected to the company’s productivity, it is very a sensitive and difficult decision to make whether to bring employees back to the office or remain in full-time remote work. Arcos Analytics has been a full-time remote worki...

According to Pew Research, 54% of the workforce will want to work from home in the near future. This is a huge shift in how Americans work. This episode will help you transition to a fully remote company or team and allow you to balance the needs of your customers, patients, staff members, and team members.

The rollout is the last step in the analytics roadmap. There are two different methods that are used for rolling out your work. Soft roll out based on incremental improvements or functions. Hard roll out based on analytics tools that are introduced all at once. When you know the difference between these two methods, you can decide on the method that works best for you and your organization.

Approval of analytics can go smoothly if you have the right processes in place. It can be as easy as a simple email or message. It can also initiate further development work if you do not have the appropriate people on board. We recommend two key steps for the approval process.

Achieve the highest quality of work through Quality Assurance testing. Make sure you are testing early and often. Communicate when a milestone needs to be tested to make sure that your analytics project is on track. Make sure that your internal development team tests their own work internally before testing occurs outside the internal team.

Project development is at the core of creating effective solutions for your internal users, your organization, and your patients. If it is done successfully, then you will be able to achieve outstanding results. Listen to this episode to learn the best practices for project development.

In order to thrive as a leader, it's important to establish timelines and milestones for your analytics projects. Through milestones and timelines, you can communicate expectations and measure the progress of development.

Before starting any development work, gather internal requirements for your analytics project. This allows you to lead your development team effectively by explaining the core features and functions that need to be developed. Listen to this podcast to understand how to gather core requirements for your analytics project. 

Develop an analytics roadmap that serves as a strategy for creating the decision tools you need to succeed. It involves the following steps: Gathering Core Requirements Establishing milestones and timelines Project Development Quality Assurance Testing Approval Roll-Out These 6 steps serve as an iterative process for improving outcomes and developing world-class decision tools.

Data engineering is fundamental to data science and decision-making. It covers data management, ETL solutions, and data mining. Understand the aspects of data engineering to communicate your business needs and develop solutions that meet your needs. A strong healthcare data management system enables different systems to be interoperable. ETL (Extract, Transform, Load) processes involve transferrin...

Understand how to elevate your leadership ability by leveraging healthcare analytics.

How much data is your healthcare organization gathering and processing?  Improve your decision-making ability by processing large volumes of data. The more data your team gathers, the better leader you can be.

Oxygen is to your body like data is to your organization. An efficient data management strategy can improve the performance of your team. This podcast can help you develop an analytics strategy that improves your data systems.