This document summarizes Hong-Bing Li's portfolio of business intelligence projects using Microsoft BI tools. It includes 3 SQL Server Reporting Services reports, 8 dashboards in SharePoint including scorecards and KPIs, 18 examples of SQL programming, and 25 SQL Server Integration Services packages for data integration. The document provides detailed descriptions and screenshots of sample reports, dashboards, SQL code, and SSIS packages developed by the author.
What's new in Excel 2013 - Steve Kraynak & Leif Brenne at Eusprig 2014eusprig
Learn about new developments and features in Microsoft Excel. In this session, we will discuss, answer questions and demonstrate several powerful new capabilities of Excel, including Spreadsheet Management, PowerBI (PowerPivot, PowerQuery, PowerView), real-time coauthoring, and others.
LeanIX offers an innovative software-as-a-service solution for Enterprise Architecture Management (EAM), based either in a public cloud or the client’s data center.
Companies like Adidas, Axel Springer, Helvetia, RWE, Trusted Shops and Zalando use LeanIX Enterprise Architecture Management tool.
Free Trial: http://bit.ly/LeanIXFreeTrial
Find out more on our latest features on the Enterprise Architecture platform LeanIX: E.g. Smarter Roadmap reports, better network performance and a feature allowing to directly jump from the filtered inventory to matching reports.
What's new in Excel 2013 - Steve Kraynak & Leif Brenne at Eusprig 2014eusprig
Learn about new developments and features in Microsoft Excel. In this session, we will discuss, answer questions and demonstrate several powerful new capabilities of Excel, including Spreadsheet Management, PowerBI (PowerPivot, PowerQuery, PowerView), real-time coauthoring, and others.
LeanIX offers an innovative software-as-a-service solution for Enterprise Architecture Management (EAM), based either in a public cloud or the client’s data center.
Companies like Adidas, Axel Springer, Helvetia, RWE, Trusted Shops and Zalando use LeanIX Enterprise Architecture Management tool.
Free Trial: http://bit.ly/LeanIXFreeTrial
Find out more on our latest features on the Enterprise Architecture platform LeanIX: E.g. Smarter Roadmap reports, better network performance and a feature allowing to directly jump from the filtered inventory to matching reports.
http://www.it-exams.fr/70-467.htm Le service après-vente est notre préoccupation principale. Nous cherchons à satisfaire tous les clients. En respectant le principe « le client d’abord » , nous faisons en sorte que tous les acheteurs réussissent à l’examen( Microsoft 70-467 (TS:Designing Business Intelligence Solutions with Microsoft SQL Server 2012) ). Garantir la confidentialité des données personnelles des clients fait fondamentalement partie de notre politique. Nous veillons à protéger strictement les informations personnelles des clients et à ne pas révéler, modifier ou divulguer les dossiers d’inscription et les informations non publiées sans autorisation des clients.
Basics of Microsoft Business Intelligence and Data Integration TechniquesValmik Potbhare
The presentation used to get the conceptual understanding of Business Intelligence and Data warehousing applications. This also gives a basic knowledge about Microsoft's offerings on Business Intelligence space. Lastly but not least, it also contains some useful and uncommon SQL server programming best practices.
This quick demo illustrates how I used a stored procedure with multiple selected parameter values within a SSRS Report. This technique can be used in the situation where developers want to utilize stored procedures, either by creating them from scratch or from existing legacy system, to develop new SSRS reports. It allows organizations to take advantage of the strength of stored procedures in maintenance and performance.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
2. Slide Contents
3 Reports (SSRS)
8 Dashboard: Scorecard & KPI (SharePoint)
18 SQL Programming
25 Data Integration Services (SSIS)
This portfolio contains examples of my business intelligence
projects using Microsoft BI Product Stack.
7. 7
Whenever users make a selection on the "City" parameter, the cascading parameter "Product
SKU" is processed immediately. Its values are filtered dynamically based on two factors:
A. Selected cities B. Product SKU with dollar Sales greater than “0 “
The technique to implement cascading parameters in SSRS using MDX, which is based on OLAP,
is somewhat more complex than that using SQL, which is based on regular OLTP RDBMS.
9. 9
Large Scorecard with Multiple KPIs and their Hotlinks to a
supporting report (Part 1). Right click a KPI, a supporting chart or table will
pop up to the right of the Scorecard, as shown in the next two slides.
10. 10
Large Scorecard with Multiple KPIs and their Hotlinks to a supporting
report (Part 2 with partial Supporting Chart)
11. Large Scorecard with Multiple KPIs and their Hotlinks to a supporting
report (Part 3 with the complete Supporting Chart)
12. This dual Y-axis chart is a great tool for data analysis: 1. Two different types of measures
can be analyzed simultaneously against dimensional data on the X-Axis, such as Dollar
Sales (left Y-axis) and Product Percent of Parent Sales (right Y-Axis) shown below; 2. These
two measures can be broken out further to provide more detail in tables or charts (see
below) where the right Y-Axis measuring Product Percent is further explained by the Product
Siblings breakout; 3. Data can be explored at different levels of the Hierarchy family (see
the top Product Hierarchy dropdown list) which functions as a filter, allowing one to obtain
summary and detail statistics at different levels accordingly and export them to Excel or
PowerPoint; and 4. Data points in the chart can be drilled down to various dimensions
allowing for the creation of additional charts (see chart in next slide) which permit one to
investigate the contribution of various factors.
13. Continued: this chart is generated by drilling down from the
previous slide. For example, the 21.32% of health and fitness
sales of parents in Aug. 2005 is broken out by region.
17. 17
This is an example of a KPI developed from the AllWorks.cube, which is deployed to
the Excel Spreadsheet for the end users. All the data in the cube, including all KPIs,
can be explored through the Pivot Table Field List.
18. SQL Programming
SQL Programming covers a broad range of content: Data Types and
Variables, Specialized Functions, Stored Procedures, Control-Of-Flow Operations,
Error Handling, Etc. Due to time/space constraints, I will illustrate only some of
the relatively new SQL functions/procedures/ programs that I have used in my
projects in the following:
1. Data Modification: OUTPUT clause, MERGE, select TOP(with ties) option
2. Aggregation: RANK() OVER (Partition by), GROUPING SETS
3. SQL Functions: PIVOT, CROSS APPLY
4. Common Table Expression (CTE), Correlated and Recursive Queries
5. User Defined Functions (UDF) that returns TABLE type
6. Error Handling Routine:
Begin Try...End Try
Begin Catch...End Catch
26. A new database “All Works” is setup as the staging area for the ETL process. A
thorough understanding of the relationships between the tables in the data
diagram is important in determining the sequence of tables to be loaded and in
enforcing referential integrity.
26
27. A Script Task is utilized to maintain multiple sets of variables with scripts in C#, for
instance, one for keeping track of row counts of data processed dynamically at the
folder level, one for row counts at the file level.
28. One SSIS package is created to do ETL for one target table. The following illustrates
the data processing within the Job Timesheets package: the data process pipeline
starts by extracting data from a CSV file. The data is then conversed, processed and
transformed (filter, remove duplicates, lookups, validate) as it passes through the
pipeline, and is finally loaded into the target job timesheets table either as inserts
or updates. It logs any rows that error out for review and correction. Similarly,
seven more packages are generated for seven target tables.
28
29. 29
A Sequence Container is deployed to run the eight ETL packages in sequence based on the
relationships between the tables in the “All Works” Database to ensure referential integrity. If the
eight packages are processed successfully, data maintenance tasks are performed. A success or
failure notice email will be sent out depending on whether the data maintenance tasks are all
successfully completed or not.
A Master Package is created to contain the Sequence Container, the maintenance tasks and the
email notices; then a SQL Server Agent Job is setup to run the Master Package on a predefined
schedule to automate the entire data processing procedure.