Analyze

Tap your organization’s data for unique insights, stronger predictions, and better knowledge to drive business forward.

Data Maturity Accelerator

If your team is struggling to meet your organization’s data needs, customers are asking for a more real-time experience with your application, or the high costs of retaining and mining data prevent you from scaling, our Data Maturity Accelerator can unveil the true potential of your company's data. The results will enable you to provide more insights for your internal staff and customers, improving the practices of collecting, storing, curating, and delivering data for your business-critical applications.

Empower your teams and stay ahead of the competition by tapping into the hidden value within your data, setting the stage for seamless AI integration.

Unlock the value in your data

Blog

Is your business ready for smarter decisions? Find out with a data maturity assessment

Patrick Turley

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Discover

Data strategy

Data strategy isn’t just about choosing the right data warehouse or data lake; done right, data strategy helps organizations turn the data they generate every minute of the day into knowledge that simplify complex decisions and illuminate new growth opportunities. But which data matters most? And which insights could make the biggest impact?

To answer these crucial questions, we start by consulting with users and consumers of data. We then work to organize, structure, and label raw organizational data so that it can serve as fuel for data-powered products.

When we’ve done that foundational work, we apply design thinking, lean product development, and human-centered design principles to our data product development process. The outcome: innovative solutions that not only meet your business needs but also provide an exceptional user experience.

How to choose the right data product

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Software infrastructure & platforms

The data products we build are scalable, secure, and optimized for performance. Regardless of the specific technology we use, we build products that help organizations unlock their data’s full potential, which often means creating solutions that surface clear insights, fast.

To understand how to make those insights most valuable and usable, we work closely with our clients to ensure their subject-matter expertise and end-users inform every aspect of what we build. In all things, we commit to delivering outsized value.

Schedule your infrastructure audit

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Data engineering

The first step toward monetizing data is the ETL process:

Extracting raw data from your systems
Transforming and curating it
Loading it into a database

TXI’s engineers excel at this work, creating systems that your data scientists and analysts can easily access and navigate so they can interpret data in ways that move your organization forward.

But we’re not just technicians: we also understand how important it is to win the trust of the data and business professionals who will use the tools we build. To that end, we adhere to security best practices to ensure the platforms we build are compliant with industry regulations and secured with cutting-edge technology (identity and access management, encryption, monitoring, etc.). We also collaborate with data users throughout the ETL and data product development processes to make sure we maintain the integrity of the data at every stage.

During the data engineering phase of engagements, our engineers engage with…

Data Modeling
Data Pipelines
Data Quality
Data Accessibility
Data Observability
Performance Improvement
Data Security & Governance

Case Studies

Using data to accelerate development of new pharmaceuticals

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Analysis & visualization

The end result of clean, organized, accessible data? Dynamic dashboards and other visualizations that can be used to make fast decisions and excellent predictions. We take a human-centered, design-led approach to support the people who provide context to data and who use it to tell stories and make predictions. Raw data by itself has minimal value, but the right visualization, in the right hands, can transform it into knowledge, enabling business insights and decisive actions.

TXI has extensive experience working with top tools to deliver data visualizations that are visually appealing, user-friendly, and informative:

Tableau
D3.js
PowerBI
Spotfire
Superset
Microstrategy
QlikSense
Sisense
Looker

What we are building together is empowering scientists to answer scientific questions in minutes instead of weeks.

VP, R&D at Fortune 100 BioPharma

Case studies

Our Analyze service in action

Fortune 100 BioPharma

Using data to accelerate development of new pharmaceuticals

A worldwide consulting firm

Automating high-stakes business analysis for decision-making

Helping AMA healthcare workers get course credit faster

Turning audience data into an action plan with ISACA

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FAQ

FAQs

What is a custom software solution for business intelligence?

A custom software solution for business intelligence is a software application designed to translate raw data into meaningful insights for decision-making purposes. It extracts, transforms, and loads data from various sources and presents it in ways that allow decision-makers to derive insights quickly and accurately.

Why do businesses need custom software solutions for business intelligence?

Businesses need custom software solutions for business intelligence to make informed decisions based on data-driven insights. By extracting and analyzing data from various sources, businesses can identify patterns, trends, and insights that would not be apparent otherwise.

What are the benefits of a custom software solution for business intelligence?

The benefits of a custom software solution for business intelligence include faster and more accurate decision-making, increased productivity and efficiency, improved resource allocation, better risk management, and increased profitability.
What types of data can be analyzed using a custom software solution for business intelligence?

A custom software solution for business intelligence can analyze various types of data, including sales data, customer data, financial data, website traffic data, social media data, and more.

What are the steps involved in creating a custom software solution for business intelligence?

The steps involved in creating a custom software solution for business intelligence include data extraction, data transformation, data loading, data analysis, and data visualization.

What programming languages are used to create custom software solutions for business intelligence?

Some popular programming languages TXI uses to create custom software solutions for business intelligence include Python and Java.

What is the difference between ETL and ELT?

ETL (extract, transform, load) refers to a process of extracting data from various sources, transforming it into a standard format, and loading it into a data warehouse or database. ELT (extract, load, transform) is a similar process, but it loads data into a database before transforming it.
What is a data warehouse?

A data warehouse is a large repository of data that is used for business intelligence purposes. It is designed to store and manage data from various sources, and to support complex queries and data analysis.
What is data visualization?

Data visualization is the process of presenting data in a graphical or visual format, such as charts, graphs, or maps. It is used to make data easier to understand and to identify patterns and trends.
What are some popular data visualization tools?

Some popular data visualization tools include Tableau, Power BI, QlikView, and D3.js.
What is machine learning?

Machine learning is a type of artificial intelligence that allows computer systems to learn and

improve from experience, without being explicitly programmed.
How can machine learning be used for business intelligence?

Machine learning can be used for business intelligence by analyzing large amounts of data to identify patterns and insights, and by using those insights to make more accurate predictions and decisions.
What is natural language processing (NLP)?

Natural language processing (NLP) is a type of artificial intelligence that allows computer systems to understand and interpret human language.
How can natural language processing be used for business intelligence?

Natural language processing can be used for business intelligence by analyzing unstructured data, such as customer feedback, social media posts, and emails, to identify patterns and insights.
What is predictive analytics?

Predictive analytics is a type of data analysis that uses statistical and machine learning algorithms to make predictions about future events or trends.
How can predictive analytics be used for business intelligence?

Predictive analytics can be used for business intelligence by analyzing past data to make predictions about future trends and events, and by using those predictions to make more informed decisions.
What is big data?

Big data refers to large and complex datasets that are difficult to process and analyze using traditional data processing methods. Big data typically involves large volumes of data with high velocity, variety, and veracity. This data can come from various sources such as social media, sensors, web logs, and more. To extract insights from big data, businesses typically use specialized tools and technologies, such as Hadoop, Spark, and NoSQL databases.
How is AI used to gather business intelligence in custom software?
Artificial Intelligence (AI) can be used in gathering business intelligence in custom software by enabling systems to process large volumes of data and identify patterns, trends, and insights that might not be apparent otherwise. Some of the ways AI can be used for business intelligence include:
1. Natural Language Processing (NLP): AI-powered NLP tools can analyze unstructured data such as customer feedback, social media posts, and emails to identify patterns and insights.
2. Machine Learning (ML): AI-powered ML algorithms can be used to analyze large datasets and identify patterns and insights that can be used for decision-making.
3. Predictive Analytics: AI-powered predictive analytics tools can be used to analyze past data to make predictions about future trends and events.
4. Image and Video Analysis: AI-powered image and video analysis tools can be used to extract insights from visual data, such as identifying patterns in customer behavior or detecting defects in manufacturing processes.
By using AI to gather business intelligence, custom software can provide more accurate and actionable insights, which can lead to better decision-making and improved business performance.

Analyze

Let’s partner to unlock excellence in data-driven ventures

At TXI, our data and analytics experts help businesses succeed by using data smartly. We’ll work closely with you to make bespoke software that turns raw data into useful information. Using advanced technology like AI and machine learning, we help businesses make fast and smart choices that make them better. We’re here to help.

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