Data profeDemonstrated experience and expertise with SAS programming language required.
Demonstrated experience using advanced Excel features and techniques required. Demonstrated experience in analysis and presentation of data required. Experience working with a variety of information systems and data files, including large and complex files: analyzing file structure, using and creating file layouts, transforming raw data into finished products. Familiarity with various types and sources of health care information, including financial and patient-level data files.

Familiarity with Washington State Comprehensive Hospital Abstract Reporting System (CHARS) desirable.
Experience with database application development (e.g., Microsoft Access) desirable. Strong communication skills, both written and spoken. Comfortable working independently, with experience working in a team environment. Skills in establishing and maintaining effective working relationships with WSHA members and staff. Physical ability to use computer hardware and software required. Ability to read, write, speak and understand English required. Educational, Experience and/or Licensing Requirements

Bachelor’s degree or higher in relevant field.
Undergraduate or graduate coursework in statistics, data analysis, research methods.
2-5 years experience in data analysis, decision support, including demonstrated proficiency with analytical software.

Data / Content Migration Assistant,
Data / Content Migration Assistant
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ENVIRONMENTAL DATA ANALYST
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Analyst, Systems and Data
Marketing data analyst
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Data Administrator Competition No.
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DATA CONSERSION SPECIALISTS
Reporting production analyst

In this example our client was facing an  issue where shipments are made  and C&F value amount is taken as Accounts Receivable, payments are received in 2 to 3  installments.  Management wants to know how much is outstanding against each shipment C&F Invoice.

In database invoice is generated on C&F basis where comprehensive information is recorded like invoice no,  Bill of Lading No, C&F Amount, Shipment NO and so on.

When Payments are received it is recorded exportpayments table along with shipment NO.

In order to create a report to what is outstanding against respective invoice we created a SQL Query  using select into Transact-SQL  as follows;

select sn1, sum(amt) as cfvl

 into #sd4

from dbo.exportpayments

group by sn1

Select Sn, CFvlu,sn1, cfvl, Cfvlu-cfvl as balance from

 dbo.invocesexpressions inner join #sd4 on

dbo.invocesexpressions.sn = #sd4.sn1

drop table #sd4

In the above example we selected Shipment NO SN1 and sum amount Sum(amt) as cfvlu

Into temp table SD4 and then we selected Shipment no SN, CFVLU from invoices table and CFVL from Temp table #SD4 and join Invoices table and #sd4 based on Shipment NO

At the end we dropped thetemp table  #SD4.

This example utilized the temp table for generating outstanding payments report.

Shipmnt              CFVLU          Shpmnt  Amnt RCD       Blnc

In this case Security departments overtime was calculated based on 12 hours and in all other departments base was 8 hours.

Salary was categorize by monthly type as [monthlytype] SG for Security Guard where ovetime was calculated based on 12 hours.

code is given below and was in included in select statement;

CASE monthlytype WHEN ‘sg’ THEN dbo.wrkshopattndnc.TOTAL_OVERTIME * dbo.[wrkshop employees].Salary / DAY(dbo.wrkshopattndnc.month)/12

ELSE dbo.wrkshopattndnc.TOTAL_OVERTIME * dbo.[wrkshop employees].Salary / DAY(dbo.wrkshopattndnc.month) / 8

END AS ovtamnt

IN SSRS when follow the report creating wizard, we see option for Tabular and Matrix (Cross Tab).

I would like to emphasie that Windows XP SP2 and SP 3 are must before installing the SQL Server 2008 and sample database. I learned this lesson in my previous attempt when I forgot the Windows XP SP2 and SP 3 and faced difficulties in installing Sql Server 2008 and Sample databases.

Cross Tab reports deliver data in most familiar format i.e spread sheet. They also summarize data both vertically and horizontally. Cross-Tab reports make a better use of space, leveraging end-users experience with the spread sheet format and horizontal expansion.

To insure decision makers understand the insights, it is important that information is presented and packaged in most appropriate way. Good communication is kept simple and focused on the message user needs to receive. Instead we either we provide too much detail or distract people’s attention by using hard to read three dimensional graphs, overdo emphasis colors (e.g bright red, yellow, orange, or green) and use too many different varieties of graphs, which make comparative analyses.[1]

Our Point of view: In our experience of providing information to decision makers we always encouraged them to draft a format in which they would like to see the information. On the basis of that we have frequently provided them the data analyses and business intelligence reports using tools like crystal Reports and Sql Reporting services.

Source;

1- Moving from Data to insights by Bernard, published in Management – Certified Management Account. june / July 2009

When we know the questions we want answered and have a good idea where that answer is going to be found, we can use the printed reports to deliver our business intelligence.
This is the most common form of business intelligence. [1]

For example we want to know employee productivity for bonus calculations we know where to find the information and we can design the report in Crystal reports or Sql Reporting services, to retrieve the information, and reports are effective business intelligence tools. This is an example of layout-led discovery.

With layout-led discovery, we learn answers to our questions for example we will find some employees have to high productivity and some have low productivity. If there is not enough information, for example for the reasons of high and low productivity in employees we may not have sufficient details. We may need to know nature of work / profitability analyses on task assigned to various employees. We need supporting details for informed decision making.

Data led discovery

This often occurs when the information we initially received changes the questions slightly.[1]
In our previous example we find an information anomaly, a significant difference in employee productivity. This may cause us to look at data differently and we want to follow the data that catches our attention.

This may called a data led discovery. To implement data-led discovery we need some interactive mechanism for drill down and viewing the report in different perspectives. It can be implemented through interactive reports in Crystal reports / Sql Server reporting services.

Source:
1- Delivering Business Intelligence with Microsoft Sql Server 2008 by Brian Larson