MS-access 2007 case-based capacity planner for tender consultants, - vba

As a way to score points for the study I’m doing, as well as out of interest into databases and wanting to help my team I’m trying to build a capacity planning tool in MS Access 2007. I work in a department that handles registering and supporting tenders. I have attached two pictures of what I’m trying to do here.
I’ve already spent some weeks making multiple iterations with colleagues who are involved and help write VBA and SQL (out of interest, wanting to learn something or otherwise. Our core business, however, isn’t developing). The primary goal of the database is as follows:
A user can access, create and modify “cases” that correlates to a case ID that we use in a different system.
A user can write down his capacity per week per year for a case.
multiple users can assign themselves to a case.
Users can leave messages (records) for other users to see on a case
Metadata can be attached to the case
The main problem we seem to be running into is that whenever a user tries through to edit an existing case through the overview, the case data no longer “complies” with entries elsewhere. Forcing updates through visual basic also seems to not have worked so far.
Adding to the complexity: most of the names we use are in dutch.
Here is an overview of the relations.
http://imgur.com/O022LAG
Here is a screenshot of the case overview as seen by a user.
http://imgur.com/kuENqaq
Main question:
How can I make entire records change for multiple users based on the input of one user.
In compliance with the guidelines regarding asking subjective questions I’m trying to be a bit more precise here:
Additionally I’m uncertain:
whether it is our approach that is wrong,
if perhaps we’re overlooking a glaring issue, or
if we should redesign this from scratch with a different layout.
Any help specifying where we should look or what would be advisable to do would be much appreciated!
Kind regards,
Timo

Related

Populate REDCap dropdown with data from outside source

I think this question may be somewhat similar to this one : REDCap automatically populate fields from earlier records
That said, in that question they were populating the dropdown with data from elsewhere in REDCap, my question pertains to outside of REDCap.
What exactly I'm trying to do:
At our institution we store a bunch of information in a clinical trial management software called "OnCore". That's not SUPER important for this question, besides the fact that we connect to it for various reasons through a couple different possible channels (sql, api, Snowflake, etc..).
At the same time, we're building a REDCap project where staff can keep track of deviations that happen in trials and what was done about it. The problem is, staff currently have to manually type into REDCap the protocol they are working on.
Let's say in OnCore a protocol is called LS-P-Joe. Well, in REDCap, someone might type "LS-p-jOe" or "Joe" or "LSPJOE" etc.. etc.. and it'll cause a problem when I go to merge the data later.
I'd love to have a dropdown where staff can only select one spelling of the word, unfortunately there are dozens if not a few hundred studies to choose from (I don't want to build them all into the REDCap project manually).
Which brings me to: is there a way to have a dropdown in REDCap that dynamically connects to an outside data source? Let's say through SQL query?
Create a new REDCap project that contains only the legal protocol. No patient data points are needed.
Use a simplified version of #Jangari's solution (that you referenced above). But your scenario doesn't require the UNION clause. I think you'll need a REDCap admin to implement the Dynamic SQL Field.
Automate some script to periodically update the list of legal protocol names. Presumably you query OnCore (maybe with an Oracle driver) and update REDCap (see this list of packages that use REDCap's API).
I suggest involving your site's REDCap admin as soon as possible. They can also ask questions in the API space on the REDCap Community Site.

CRM 2013 requirement gathering and expansion, Best Practices

I'm fairly new to CRM 2013, and I've been reading and watching a lot of videos on the subject. I'm hoping someone on the interweb, can offer some tips or suggestions that will resonate with the way I interpret and comprehend this material.
I have a regular MS Access DB, with a few different tables that is used to store personnel records. From what I've learned so far CRM looks like a good candidate for moving away from Access and towards CRM.
My question is, what are some best practices when it comes to gathering requirements and expanding them for the CRM 2013 environment?
i.e. (for simplicity sake)
MS Access db has two tables.
Table A stores names of employees.
Table B stores the employee's favorite food.
Should each table have their own entity (Table_A 1:N, Table_B N:1), or are there times when you should combine multiple tables under a single entity?
Is it considered bad form to just put everything under one entity?
If it is bad form, how do you determine when to split the information
into multiple entities?
Business processes seem to remind me of SharePoint workflows. When should you rely on a BP?
I hope this makes sense, I'm still trying to make sense of it all. Any help is appreciated, thanks!
The Dynamics CRM is backed by a SQL Server, so think in terms of SQL tables and what's better. Splitting into smaller objects which have single responsibility is is better in most cases, but this might affect the performance on joining records. Honestly, we are moving away from CRM in cloud because it's not scaleable, not reliable (if it goes down you need to wait when it goes up - no second replica), no control over underlying SQL data or SQL Server instance size (DTUs), hard to test, and is just painful for a big project. And we are going to replace all Business Processes with code, because they are not testable as well - you cannot write unit tests.
Although #sergeSemenov has some good points, you have to start what CRM was is. CRM is a Customer Relationship Management suite, built on top of Xrm, a RADP, Rapid Application Development Platform.
Xrm is not designed to be the most flexible, most performant platform in the world. If speed of use and the ability to use any specific technology/sever topology to meet your demand is a requirement for your app, don't start with XRM.
If speed of development, speed to market, reduced costs by having non developers doing work that in the custom app dev world are required by developers, or even a desire to be in the cloud on day 1, are more highly valued, then Xrm, and consequently CRM is a great place to start.
As far as your questions, it all depends. The more normalized your data is, multiple entities for each relationship, the less work involved in ensuring they are all in sync, but usually the more difficult it is for your end users to work with the information. They'll have to navigate to multiple forms for data entry, and have lots of joins to configure in reports.
I generally try to keep the data as normalized as possible, but if anything is a 1:1 relationship, combine that into single entity. Or you know it's going to be a 1:2 or 1:3 relationship (See addresses on contacts and accounts for example)
Basically, it is an answer that requires a unique look at the application requirements, and personal experience. I would highly recommend seeking a consultant with CRM experience. Another advantage of a platform, is that there is a whole resource pool of developers, and BAs that already know the framework, and can provide value to the business on day one, rather than taking 2 or 3 weeks getting up to speed on your specific architecture.
Good luck!

Draw EER Model to create Store Database system

I asked the following question on a database site:
I am trying to build an EER Model for a Autostore that has 5 locations
and offers a range of auto products. They offer car repairs and
roadworthy tests as a service also. I need to be able to make
fortnightly reports on unfinished service jobs, and fortnightly
reports on the sales. They have a wide customer database filled with
full addresses. There is a constant inflow of new stock items and
restocking of old ones. There should also be a way to know the cost of
each item in stock and where its being held.
I swear I've researched it enough to be able to understand it by now
but Im really struggling to map this out as I'm constantly running
into a wall when dealing with the products that are being restocked,
sold and stocked by particular stores in different locations.
-I'm a total rookie with this kind of thing but if anyone can help me it would be amazing.
but I am struggling to find an answer and was thinking that maybe if I asked someone here to build an SQL setup it would lead me in the direction of being able to make the model or if there was a way of building the relational model then it would be a simple step from there, unless someone has the original answer - or all of them haha, hope you can help!
Thanks,
Jacob
If you are struggling with creating an EER diagram, my guess is that you may not have captured detailed enough requirements for the application. A clear understanding of the functionality the application should provide should lay the groundwork for what you need to model in the database.
Ask yourself these questions.
Have I created user profiles for each type of user the application will be used by?
Have I outlined every action these users will be performing on the application and the details of the actions?
These are just two of many questions that you have hopefully fully addressed. If you have addressed these topics and everything else fully, perhaps you just need a different approach in organizing your requirements.
Break it up into segments of data. For example, you'll need to create a system of tables that manages inventory. Which will need to then be linked up to a system of tables that manages sales and service records. Which will need to be linked to a system of tables that manages customers data. The sales/service and inventory control will need to be linked up to a system of tables that governs employees and their roles and ability to do things (security, privileges, etc). I can go on and on speaking theoretically about this, but this should hopefully be enough to get you started.
Good luck.

Database Modification or start over?

So I'm currently working on rebuilding an existing website that is used internally at my company for project management, at heart it is a bug tracking utility that has some customer support and accounting operations linked into it.
Currently the database model is very repetitive, a good example of this is, currently a UserId is linked into a record (FK relationship into a user table that contains all the information about the user) and then all the information about the user also exists in the table.
I've been tasked with improving the website and the functionality of the model; however, I want to reduce the repetition of data in the website (is this normalization or is that the breaking apart of unlinked items into separate tables?). I'm not sure what the best method of doing this would be. I'm thinking of generating the creation scripts for the database and creating a new database project in VS to then modify the database, then generating some scripts to populate the new database model from the old database.
I plan on using the Entity Framework and ASP. NET MVC 2 to build the website as I think it provides the most flexible model moving forward for the modification and maintenance of the website.
The reason I ask all of this is because I'm very familiar with using databases and modifying existing ones to be used in applications and websites but I'm trying to discover the best way to build one.
I'm curious if there is any material on the best way to do this or if I should be using a different tool to do this with?
Edit: Providing more information on the model
There are 4 major areas that we have that are used:
Cases (Bugs, Features, Working Tasks, Etc)
2 .Tickets (Tech Support Events)
Errors (Errors Generated from our logging Library, Basically a stack trace with customer information)
License (Keeps track of each customers License allows modification to those licenses)
These are the Objects that are intermixed and used throughout the above 4 major areas.
Users (People who use the system)
Customers (People who use our software)
Stores (Places where our customers use our software)
Products (Our Software)
Relationships
Cases:
A Cases has to have a User, can have a Customer, Store, Error, Ticket and/or Product
Tickets
A Ticket has to have a User and a Customer, can have a Store, Error and/or Product
Errors:
A Error has to have a Product, Can Have a Case, Ticket, Store, and/or Product
Licenses:
A Licenses has to have a Product and Customer, can have a Store
Like I said very basic website, with a not super complex database, if done correctly.
Currently the database has no FK constraints, replication of lots of information across each table and lots of extra tables that are duplicates with different names.
E.g.
Each Case type has a separate table so there is a FeatureRequest, Bug, Tasks, Completed, etc table that all contain the same information.
Normalization is about storing data without redundancy or anomalies.
One example of an anomaly could be when attributes about a user in your main table are not in sync with the users table. Someone changes information about that user in one table without reflecting the changes in the redundant copy. The problem is that it's hard to know which change is the correct one.
Some people think that normalization is just about breaking apart tables into littler tables, because that's what they see as the most common type of change. But that's not the goal of normalization. It's just by coincidence that most mistakes of non-normalization involve stuffing too much data into one table where multiple tables would be correct.
It's hard to answer your question about whether to modify your database in-place or whether to create a whole new database and migrate to it.
What I would do in your case is to design a properly normalized database, and then examine the differences between that and your existing database. Imagine what you would have to do for each difference, to change your old database to the new one, versus a data migration. It could be that only a few changes are needed, only dropping the redundant columns. Or it could be that some major rework is needed. It's impossible to tell until you do the work of creating a normalized data model so you can compare.
The bigger task might be to adapt your application code that uses the database. One way to ease this transition is to create database views on top of the normalized database, which mimic your old non-normalized database. That way hopefully you don't have to rewrite every bit of code in your app all at once, you can keep some of it the same at least until you can refactor the code.
Also having a good set of regression tests in place is ideal, so you can be sure your app still does all the tasks it is supposed to do, as you refactor the database and the code that uses the database.
Re your comment: You mention that you're adding new functionality to the user model at the same time. I would find it too confusing to try to do this simultaneously with refactoring. Refactoring typically does not change functionality, it only changes implementation. But refactoring adds value because it makes the code easier to maintain or debug, improves efficiency, or prepares you to make future functionality changes more easily.
I would recommend that you bit the bullet and add your new user model features to the old non-normalized database. It's good to get the benefit of new features in the short term, and also you need to develop those features first to understand them well enough to account for them in your big refactoring project.
Here are some suggestions for resources to help you truly understand what normalization means:
SQL and Relational Theory by C. J. Date
A Simple Guide to Five Normal Forms in Relational Database Theory by William Kent
Database Normalization at Wikipedia and its sub-pages for each respective normal form
SQL Antipatterns Volume 1: Avoiding the Pitfalls of Database Programming by me, Bill Karwin. I wrote a chapter about database normalization that I hope explains it in plain English and with good examples.
Here are a couple of resources for managing changes to a database:
Refactoring Databases by Scott W. Ambler and Pramodkumar J. Sadalage
Agile Database Techniques: Effective Strategies for the Agile Software Developer by Scott W. Ambler
How long do you have, and how big is the database?
It's very difficult to answer this question black and white without being immersed in your environment and business case. It really doesn't seem like your limitation is technology wise, just to choose between solutions.
Re-creating is what programmers instinctively go for. However, in the "real world", sometimes we spend a lot of effort into something that isn't that used or wont last that long.
So food for thought. How long will it take you to re-do the database, how much will it cost. Will working with what's existent be sufficient for the functionality asked?

Alternative in using Excel in reporting

Even with the advanced technologies and available database tools (even free alternatives) are available today, it seems that huge number of users are still very comfortable in using Excel IN EVERYTHING! That's why, as a database developer working as one of these users, I am forced to let them use Excel simply because they are very comfortable using it. Especially for the older people who seemed to never gonna let Excel go and embrace a new tool.
Currently, to make their experience as smooth as possible and at the same time, automated, I'm using a lot of database queries inside Excel be it view,SQL or stored procedures. Mostly on ad-hoc (but then became permanent) reports. My question is are there any hopes to improve this situation? I'm sure a lot of organizations are using this same method. Is it possible to completely replace this arrangement with something more logical and efficient both in data collection and reliability? I'm thinking about using Sharepoint. Am I on the right track?
I have also struggled with this problem in the past and can say that what worked for me was a two pronged approach.
Step 1 – Make a good alternative
It sounds like you have already done this, depending on the system there will always be some random report that someone needs to run to suit their “Business Need”. There is no way that you could cram all of these into your system as it would fill up with reports and the users would become snow blind.
Step 2 – User education
Show them the new way of making their own reports (Business objects SSRS whatever) and make sure they are comfortable with it. This is the hardest part as some people like their comfort blanket of excel and wont want to leave it. Give them some templates and some standard reports, maybe even pair develop one or two reports at their desk with them so they get the knack of it.
I will leave on a bit of a daily WTF, there was once this expert business manager who was an expert in business objects. She made reports left right and centre but she treated it like a giant version of excel and her work was littered with examples of this i.e. one report she wrote was to get the dealing totals for a year. No problem I hear you cry just do
SELECT SUM(DealAmount) where DealDate Between X and Y
Nope not our business expert, in here excel frame of mind this was too much like black magic so what she did was return a row for EVERY SINGLE DEAL done in that year and then aggregated it client side to give her a total. In I step and wow the users by reducing this 104mb report that took 17 minutes to run down to a 100kb report that ran in about 15 seconds.
I would go the other way around. And I mean by that, not making queries and database connections within Excel, but using some sort of Web Application to let users (through wizards) generate data they need, and export them to Excel to work.
That way you will have the following benefits:
No DB connections (and probably passwords) in your Excel files
No distribution problem of Excel files with new queries, views, etc.
Centralized approach to data retrieval
Excel for users used to it
Back in the day, I loved using Crystal Reports for ad-hoc reporting. I'm not sure about it's current status, as it seems that SAP has purchased the product: http://www.sap.com/solutions/sapbusinessobjects/sap-crystal-solutions/index.epx