 Based on the kind of data and needs of the audience are the key factors in managing successful information systems. So this Academy will be conducting for 10 days starting from today, so it will be the entire this week and the next week. So, this Academy is going to be a kind of a very interactive one and not just one way communication based on lectures. So we'll have we have so many items arranged for you all, we have lectures demonstrations, as well as few group activities and not to forget there'll be assignments and final examination as well. So, more about this, the structure agenda and how the content is organized we will explain to you later. I'm sorry for the delay that we had in starting this session mainly because we were waiting for few participants to join who had some issues, some technical difficulties in joining the session. Right, so I assume now we have we have all together 45 members. Before we start with the first item, just a kind request, I think some of you have been, you know, like, if you look at the participants list. We see a lot of you appearing as a DHS to DHS to the name. So kindly, we kind of request you to rename your name to your, your name so that we can identify who's actually using the particular account. This of course happened due to one, some glitches that we had while configuring the learning management system so most probably our team is working on that and how to fix it. So in the meantime, I think before we move on to any content and the objectives of this academy. We would like to do a round of introductions. So we have an expert set of panelists facilitators conducting decisions. So I think we can introduce the list of facilitators first. As I mentioned you before, we have the facilitators representing the his pin there and his Sri Lanka to expert DHS to notes in the Asia region. So let us start the start with the his India team. So if you could introduce your team. Yeah, thanks for more. Hello everyone, and we welcome you to the analytics level in academy and thank you for taking the interest in joining the course we hope that you'll have a fruitful experience over the next 10 days. I'm Saurabh Singh myself I'm Saurabh. I'm working as detailed systems with his pin there, having around 10 years of experience on DHS implementations and I'll be one of the facilitators taking the sessions and will be communicating a lot with you through the slack channels and answering questions and making sure that the concepts that we cover are well understood and you moving forward you'll be able to implement those in your respective work areas. Thank you. Get the guy if you could introduce yourself please. Hello everyone, I'm get the car working with his pin the last years. I have been working mostly on the tracker implementations and recently I've been working with the immunization packages and antimicrobial surveillance programs. I'll be taking few sessions in the academy and look forward to talking to all of you. Thank you. Hello everyone, my name is Senator party and working with his India, and it's been almost six years of working on the DHS to implementation, and I will be supporting in this DHS to academy. Thank you so much. Hi everyone, I am working with his pin there from past few years on the DHS to implementations. And I'll be with you for the next five days during this academy supporting during the sessions. Thank you. All right, so just few lines of introduction on the course that what are the target audience with for this course and what target area that covers so basically this training will target the people who have been working with the DHS to implementations and working with the data where you frequently use the analytical outputs which are available in DHS to so through this tender course what we will try to do is is to take the analytical apps available in DHS to on a day by day basis and try to cover these and the functionalities and the various features they have in terms of producing outputs for the data which the programs and the implementations are capturing the focus is more on the analytical components of what is feasible to do in DHS to it may not be focusing extensively on how to convert data to action or how to actually focus more on the data use component. But it would be more on the functionality aspects of DHS to in terms of how we can help you build your capacities to use DHS analytical apps to produce the analytical objects and items which could be further utilized taking decisions and converting data into action. We will be having brief sessions on the data to action framework, where we will be talking about how DHS to can be used as a tool to convert data into action, but then largely the focus of the Academy would be towards using the analytical tools in DHS to how to go about it and you'll have various theory sessions you'll have practical hands on exercises you'll have both ungraded and graded assignments, which will kind of help you to do practical get a practical understanding of the topics and use DHS to more actively in your implementations. The learning goals that we have is to, since we all belong to the DHS to community because we're the users of the global code that is being developed over so many years. So we would like the participants to get an increase in the level of understanding of the features and so that you're able to produce the reporting outputs using the DHS to analytic applications. How you could use the core analytic applications within DHS to produce reports and increase the ability to use supplementary applications, which might not be part of the DHS to code software, but then can help you to review data and produce reports within the DHS to system. So the performance objectives that we have for this course is to how we could use the analytical tools within DHS to review the quality of data. So since we are kind of working in implementations where data is of high importance and if the quality of data is not good then it kind of doesn't help us to reach our objectives that we had in terms of using a tool for data management. So we will have some dedicated sessions where you could use how you could utilize the analytical features in DHS to manage the quality of data. Then we will focus upon the explanations behind the analytical apps and how to basically construct different analytical outputs, what considerations you can take in terms of designing your outputs and what are the dos and don'ts and the best practices towards doing that. Then it's important that we share the data and make it open for interpretations and kind of present that data to wider audience so that we're able to get more feedback on the data that we're collecting and kind of helps us to kind of build communication around data and how that communication can support the teams and the program managers, the enemy officers to take better decisions on the data that they're trying to collect. And then provide participants with the real experience of using data within DHS too. So we'll have a couple of examples where we have kind of designed the programmatic data in a way that will kind of resemble a real scenario within the system for different health programs. So we will have a look at those use cases and do those exercises to kind of understand if you were working for CHIV malaria or the tuberculosis program, then how you can use DHS as your analytical system to kind of monitor the quality of data and take decisions based on the data which you kind of present to others through the analytical apps available in the system. Then we'll be also focusing upon the design choices in terms of, as I mentioned that when you are designing outputs, there are multiple ways in which you can present the data. But then there might be better options available where the same data could be represented in different forms and there are some preferred forms which kind of adds more value to the data which is getting collected. So we'll focus upon what design choices, what implementation considerations you can make when you think of designing outputs from the DHS to analytical applications. And then we'll also have a look at the certain components which could be configured to kind of support the analysis of data within DHS too. And then based on the experience that you had in working with different countries with different health programs, what challenges that we've seen in terms of analytical outputs and what could be the potential solutions to address those outputs. Because one size doesn't fit all if DHS too can do something which another system might do better, but then we of course cannot implement all the systems at one place. So if we have better examples of analytical solutions available then how we could manage the same things within DHS too and what are the alternate solutions available so that we find the right balance between what the system can do for you. And what are your requirements in terms of the analytical needs which you have for your respective health program. So this would be kind of a mix of building core components within DHS too and utilizing the applications for compiling information together what is already available in the system. So there are certain DHS to items which are all core functionalities we'll be focusing on these functionalities on a day by day basis and try to see that how these particular apps add more value to the analysis which you want to carry out. So validation rules are kind of the logics which kind of add the data quality layer on top of your data. So we'll see that how validation rules can kind of help you to identify basic quality issues with the data. If things are not related to each other and still if they haven't reported in a higher number or lower number. Then if we have these predefined logics which can run over your data set and can give you errors that these are the potential conflicts with the data which can help you kind of see relationship between two variables or you can set thresholds and you can see the consistency of data over a period of time. So validation rules have multiple use cases where they could be reflected upon so we'll see these use cases and kind of guide you through the process of how you can create such validation rules for different functions within the DHS to system. Then we'll focus more on the analytical applications which are already available in DHS to the pivot tables the charts and the maps. So these are three core applications which are available in the system, which kind of help you to create analytical objects which could be in a tabular format if you talk about pivot tables, which can be different kind of charts. Multiple chart types are supported within DHS to will see what chart types fit what kind of data some orientation on that, and then spatial analysis data through maps. So maps are good platform a good mechanism to see the overall spread of data or geography and you could see it over time and move across the hierarchy depending upon how the maps have been configured in your DHS to implementation so we'll have a look at that. So we'll move to the more core areas of data presentation visualization and sharing and dissemination of data. So through the interpretations and the dashboard components we'll have a look at how we can create these objects assemble them into a well laid out story a dashboard and how that dashboard can become a tool to kind of build a communication around data through user interpretations. So these would be the core focus areas and the learning objectives of this academy the next 10 days. So, we will be kind of putting a lot of emphasis on providing you with as much hands on exercises as possible. So, when we review the agenda will see that there are multiple exercises after each session of the topic of the day that we covered. And there are some things that we need to note that the focus largely would be on to kind of enable you to kind of enhance your capabilities in terms of creation of the outputs. So the definition of things might not be covered in detail because that is part of the other academies that we run for DHS to configuration. So we'll not be focusing more on the configuration will be focusing more on the the pre configured items which already are the indicators the validation rules, and we'll see how we can kind of take these things together and build more analytical objects out of it. So the course will have a set of quizzes and assignments that will contribute to your final grade, and the overall grade should be 70 and above in order for you to get a certificate from the ETX system. So all the courses will all the graded assignments will get automatically graded based on the response which you provide on your open index account. And based on the calculation of scores at the end of the course if you have been able to attend attend all the sessions and have been able to do all the assignments correctly then automatically a score will get generated and your option of generating a certificate would get enabled through the score. So this is the learning and evaluation plan based on the different assignments that we will give you and the weightages that each of them carry attendance is critical. So we request you to please ensure that you maintain the continuity and do register your attendance daily on the open index platform. So this is the weight of around 10% to the overall score, then you'll have graded assignments for pivot tables data visualizer maps and dashboards. So these would be these exercises would be available on edX you need to just input your answers there and these these great exercises would be done after the day for that specific topic is over and you'll have some grace period to submit your each of the topics which have a graded component associated to it. Then you'll have on day nine, you'll have the full day to do a comprehensive exercise which would be a sort of a case study which kind of they'll bind all the concepts all the topics that you've covered across the eight days. And that would be also an automatic submission on the open index portal and you'll be graded accordingly based on the responses which provide to the questions. And then they will find exam which would be you'll have an hour 15 minutes to answer 40 multiple choice questions and based on your responses you'll be graded for that specific exam. So these are the components which are essential for you to submit your responses again so that the the LMS is able to process your final scores and it can generate a certificate. And hopefully we hope that you all will be able to attend all the sessions and submit all the assignments and also give the exam on on day 10 so that the certificates and all would be generated for you with the flying colors. So just a quick overview of the course today we're on day zero so we will be basically covering just the scheme of things. We are already on the course overview and grant has already given you an introduction of the learning platform. So we'll be quickly doing an introduction of the slack platform which you can use for all the communication which you want to do with the facilitators for different aspects so we'll go through that after the session. And we'll have a couple of demonstrations today kind of given overview of the the analytics tool features which are available. So as I mentioned, we'll be focusing on the validation rule aspects which kind of are the data quality component within the DHS to construct. So we'll introduce the validation rules and then kind of configuring simple rules then how you could use thresholds and validation rules, how you can create validation rule notifications where a user group would be notified of potential data quality issues with the data. And how you can use validation tools check the internal consistency of data and how you can use validation tools against calculate thresholds. So the next two days, day one and day two tomorrow and day after we'll focus on the data quality aspects. Day three, we'll be covering pivot tables and we will be taking you through different options available in the pivot tables up. What are the options available to create your tables, select your dimensions and choosing different layouts using disaggregations, downloading data using legends and all that. So all the features which are essential to create a good tables in which could kind of summarize your data in a presentable format will be covering those respective products. Therefore, we'll focus on data visualizer, which is basically the charting application so we'll see what are the different chart types available, how you can work with the layouts with different chart items the chart types available. The use of disaggregation and what are the new components which have been introduced in the latest releases of DHS. So we'll cover that in the data visualizer session. Then we'll talk about maps to give you an overview of the thematic layers and the all the layers available basically the boundary layer fester layers and how you can work with the legends. So you can move across the hierarchy with the data by drilling the map and new features have been added recently for split and time and maps so we have a look at that as well. Day seven will focus on the dashboards and the reports app in terms of how you can create dashboards how you can share dashboards how you can use the dashboards for sharing your kind of set of analytical objects which are combined together. So the separate reports app which kind of helps you to look at the reporting rate some of these of the data data set reports and the distribution of arguments within your administrative hierarchy which you have paid in the system. So we'll be focusing on the interpretations in terms of how to use the data to action framework in DHS to through the analytical objects which you have created till date in your exercises and in terms of considerations which you can use in your existing so how best you could use an article outputs in your implementation and what are the challenges that we're foreseen globally in terms of the analytical capabilities in DHS to and what are the other solutions available which could be put into place for for making the best benefit out of the system. Day nine in 10 we have the the comprehensive exercise and day 10 would be the last day of the course which would be the exam and hopefully by the end of day 10 you'll be able to pass the exam with good results. So this was kind of an overview of the entire course what we intend to achieve through these next 10 days what are the different topics that we'll cover. Just an overview of the various sessions will be there in each day. So if there are any questions then I can take those up if not, then we can have a small break before we proceed to the next set of sessions.