Tag: Legacy System

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QUERY METHODS

CTE, subquery, and view are all database programming constructs that allow you to create reusable and flexible queries.

SUBQUERY

A subquery is an embedded query within another query, typically in the WHERE clause of the main query. A subquery can be used to filter, sort or aggregate data, and nested to create complex queries.

Subquery Examples

VIEW

A view is a virtual table where you can program logic. They are simple to write, and they keep the processing at the server, but the results are generated at run time and can be slow if you’re handling a lot of data.

CTE

A Common Table Expression (CTE) is a temporary name assigned to a query that can be referenced multiple times in a larger query. CTEs are useful for creating recursive queries or queries that require complex logic. If you have a query that runs very inefficiently, converting it to use a CTE will often bring processing time way down.

Over the next few weeks we will look at some basic approaches to writing queries with some simple examples.

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Subqueries

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ERP ROI

I’m a big believer in the power of reporting to help guide change management in large organizations. One of the biggest changes any organization can take on is the implementation of a new MRP or ERP solution. Sadly project teams usually don’t remain involved past a few support days once a new system is live. Reporting is usually lumped into these days with limited success. This leaves the organization at a disadvantage, and leads to lower ROI on what is usually a large investment. The project team don’t stay to ensure the data, people and processes have evolved to work with the new system. Management considers a project successful when there are no major disruptions and costs remained low, a low bar indeed.

MAXIMIZING ROI

Installing a system, setting up master data, and turning on the lights are only the first steps in any implementation. How are people adjusting? What does the team find frustrating and limiting? Do they have the training they need? Do they understand what the new data is telling them? These conversations are critical for maximizing your return on investment.

This becomes an iterative process to help the team understand what is possible outside the confines of your old system. This requires patience to limit business disruptions and errors, and allow a team to grow.

An implementation that maximizes ROI empowers employees to take ownership of the quality of the data they work with. Business intelligence customized to your environment should help employees see how their actions can improve the customer experience and the bottom line every day.

ARE YOU LEAVING GAINS ON THE TABLE?

To power up your ERP email [email protected].

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Investment Priorities in Business

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INVESTMENT PRIORITIES IN BUSINESS

The recent challenges for banks has highlighted the need for flexibility and the ability to adapt. See this article in the Entrepreneur about the inflexible work culture of Credit Suisse.

INVESTMENT FOR A HYBRID WORK ENVIRONMENT

With changes in the business environment in many industries there is a huge need for investment to empower and retain top talent.

Business intelligence and financial reporting are critical areas that require a robust technological infrastructure and the right tools for seamless communication and collaboration.

Organizations need to invest in technology that enables their teams to work with data from various sources. This includes tools for data integration, data warehousing, and data visualization. With the right systems in place, teams can collaborate and share insights in real-time, regardless of their location.

Businesses need to invest in reporting that integrates with operations systems to maximize flexibility and accuracy.

Remote work requires effective communication and collaboration between finance and non-finance teams. Finance teams must work closely with operations to ensure that reporting structure is consistent with the overall business goals.

BUSINESS CONTINUITY

Business continuity planning requires effective communication and collaboration among team members, especially in a remote work environment. Organizations need to invest in tools that will help employees communicate, share, and collaborate on critical tasks.

SUMMARY

Investing in the right tools is critical for supporting hybrid and remote work, and keeping both employees and customers happy. Ensuring your teams have access to the tools they need will lead to improved business performance and outcomes. Businesses are learning every day, data is key.

For help building your business email [email protected]

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THE POWER OF BI

Investing in business intelligence automation can help businesses make better decisions, improve efficiency, and ultimately increase profitability. By leveraging the power of data, businesses can gain a deeper understanding of their operations, customers, and markets. With this knowledge, they can make more informed decisions, optimize their processes, and uncover new opportunities for growth.

Business intelligence automation takes this to the next level by automating the data collection, analysis, and reporting process. This means that businesses can get real-time insights into their operations, without spending hours manually collecting and analyzing data. With the help of automation, businesses can identify trends, patterns, and insights that might have gone unnoticed otherwise, and use this information to make better decisions.

Business intelligence automation also improves efficiency by streamlining processes and reducing the amount of time and resources required to collect and analyze data. By automating routine tasks, businesses can free up their staff to focus on higher-level strategic activities. This can result in cost savings and increased productivity.

Ultimately, investing in business intelligence automation can lead to increased profitability. By improving decision-making, optimizing processes, and identifying new opportunities, businesses can boost their revenue and reduce costs. This can have a significant impact on the bottom line and position businesses for long-term success.

Investing in business intelligence automation is an investment in the future success of your business. By unlocking the power of your data and streamlining your processes, you can make better decisions, improve efficiency, and increase profitability.

Make better decisions, improve efficiency, and increase profitability. Don’t miss out on the opportunity to unlock the power of your data, email [email protected].

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STAR SCHEMA vs SNOWFLAKE

There’s been a lot of talk about star schemas and snowflake schemas at SQLbits this week. If you’re not familiar with the terms they relate to two divergent approaches to data that are important to consider when moving to a cloud based reporting solution.

WHAT IS IT?

A star schema is a simple and denormalized structure where the fact table is at the center and surrounded by dimension tables. It looks like a star because of its shape.

On the other hand, a snowflake schema is a more normalized structure that breaks down dimension tables into sub-dimension tables. This makes the schema look like a snowflake, hence the name. This allows for better scalability and more complex relationships between tables. However, it can also make querying data more complicated and slower due to the increased number of joins required.

STAR vs SNOWFLAKE https://www.researchgate.net/figure/Star-schema-left-vs-Snowflake-schema-right_fig4_227246694
STAR vs SNOWFLAKE

The star schema is simpler and faster for querying data, but less flexible, while the snowflake schema is more flexible and scalable, but can be more complex and slower for querying data. Both of these approaches have a purposes and a strength and in my experience a combination of both approaches is often best.

Snowflake is the standard in older systems, or in highly controlled transactional systems. It used to be taboo to list a value redundantly in two places. Star schemas are more likely to become out of sync, because you have to update values in multiple locations. Over time; however, it’s clear that multiple joins in ad hoc querying is inefficient, especially when we’re reporting on a large amount of data, and particularly in tables that are actively processing transactions.

MODERN REPORTING FOR LEGACY SYSTEMS

Preparing your data for consumption by converting legacy snowflake schema tables to a simplified star schema set of tables that users can query without locking or blocking transactional tables makes the most of both design approaches. Talk to one of our data experts to discuss how your data factory or warehouse resources can be simplified and turned into useful, meaningful business intelligence using modern storage solutions along with an intelligent and efficient approach to design that will optimize scanning and extraction.

You can’t make the most of the modern tools available by simply importing your legacy data into a data lake without some tweaks with the help of a reporting expert, and not just a . Get the advice of someone who understands the pitfalls. Keep your queries efficient to keep your costs low, and watch your data turn into meaningful action.

Email today for help with your data optimization questions.



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