How Church Management Software Helps in Growing a Community

Usually one would not think of church management software as a primary tool to expand the community. When you want to have a large community in the congregation a properly planned process is needed that can be executed well with the help of software.

For growing the church community you would require three things-

1. Developing a relational community
2. Constant communication between the administrative members, volunteers and leaders
3. Events for fundraising, festivals and important announcements

Let’s take a look how church software helps you in expanding the community –

1. Unification Through Constant Communication

At times the communication process is interrupted, people do not know about what is currently going on in the church and may even believe false information.

Using church software you can eliminate all the feuds that occur due to bewilderments when the people are not informed about the current scenario of the church. Most of the ChMs contain a calendar through which you can share the events, services, gala etc. commencing in the church. The chat system, bulk emailing facility and forum are effective in creating an understanding between the individuals working in the church.

2. Engage and Empower the Volunteers

One of the vital ingredients of growing a community is to empower the volunteers to multiply the ministry’s impact. If you are not using a strategy for engaging the volunteers, the number of volunteers joining and leaving the church will not have a major difference.

Sometimes the leaders feel contented when an old volunteer is replaced by a new one because they get better service. With such perspective the church community can never grow.

Through the church system you can engage the existing volunteers and also persuade the new ones.

3. Help the Donors in Financial Reports

Most of the people who join your community and donate to the church would be pleased to have a quarterly statement and a yearly receipt for filing their tax return. Using a ChMs you can send the donors their donation receipts and even generate a report of yearly donations. Some software even allow you to attach the details in the form of PDF and Excel files. This is an innovative way of saving papers (used in envelopes and stamps) and the time.

4. Processing Personalised Emails

Bulk emailing sounds good to the members you interact everyday but a person who is being invited in an event or a new member receiving a mail for the first time would appreciate if they are addressed by name. Most of the ChMs have the options that allow you to include the name of the person and subject. Also, sometimes the software lets you select a specific group which results in sending mail to the intended people only. For example – For a children’s day celebration only the families having kids will be approached.

You can manage the text in your mails on the basis of some criteria. If it is an email inviting people for an event, you can design two formats –

One which contains just a synopsis of what will happen. This will be sent to people who have already attended a similar event in the church.
Another format having in-depth details of every element of the event for the newcomers.

If the event is age specific you can customise the email according to the age of the person receiving it. The attachments such as posters, pdfs, documents etc. should be included only for those people who would really like to read them.

Every church has its own ways of growing their community but with the church management software, you not only engage more people but also maintain a deep connection with them.

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Imbalanced Join Conditions in Database Queries

RDBMS or Relational Database Management Systems use queries to fetch data from the database. Queries can be constructed on more than one table using equi or non equi joins. Queries can also specify where conditions, where data will be retrieved as per some conditions such as Select student_name from students where place_of_residence = “Chennai”. Join conditions are specified as Select a.customer_name, b.order_id from customer a, order b where a.customer_id = b.customer_id.

In the above case a join is being made between two tables customer and order. Prior to a query being executed the SQL engine computes an execution plan. The query execution plan is a sequence of steps determined by the query optimizer. These steps would yield a sequence of operations which would result in the lowest cost of executing the query. In complex situations when queries are constructed between many tables specifying many query conditions one or two missed join conditions can lead to prolonged query run times if the database has high volumes of data.

A join of two tables without a join condition is just a cross product of two sets. If Table A has 10,000 rows and Table B has 5000 rows a cross product of two tables will result in 5,00,00,000 records. Whereas if a join condition is introduced the result set will contain 10,000 rows or 5,000 rows in the resultant search space. If a query for example contains 10 tables and cross products of two or three tables taken at a time, and if the query expression contains 20 – 30 joins 3 or 4 join conditions can be missed out due to negligence or error. This can be the case in case of SQL queries running in large manufacturing or production outlets doing heavy volume data processing. The size of each table is very large and so are the number of tables.

A designer may compose a query to record an Actualization process in a production house in which actual sales data against projections are uploaded into the database. Due to the complexity of the database a single query may use 20 tables holding more than 100000 records per table on the average. The query may use a lot of joins and if due an accident some join conditions get skipped then the query would search in a space of 10 power 20 records instead of just 10 power 5 records. This would lead to prolonged query execution time sometimes a single program containing any such erroneous query can run for even 20 hours without completing the updations. But on identifying and adding missed join conditions such as table3.column3 = table4.column7 or table7.column2 = table1.column9 etc., into the query the query can be made to run in acceptable time.

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