Business Solutions

How Poor Data Quality Scuttled a NASA Mars Mission

How Poor Data Quality Scuttled a NASA Mars Mission

We have previously written about poor data quality having a real-world negative impact with the recent UK government COVID data loss. There are numerous...Read More

How can Call Centre Data Analytics Improve Performance

How can Call Centre Data Analytics Improve Performance

Call Centres are a rich source of customer data and with the right approach, can lead to useful analytics insights. They amass a large volume of...Read More

Common Data Quality Issues and Their Business Impact

Common Data Quality Issues and Their Business Impact

When businesses are data-driven, poor data quality management affects business outcomes. Many business analysts are still failing to make the link between...Read More

Retail IoT and AI Technology in the Time of COVID

Retail IoT and AI Technology in the Time of COVID

The COVID pandemic and associated lockdown is affecting the way bricks-and-mortar retailers think about their current and future operations. Even as...Read More

Australian Cloud Computing Risks in 2020

Australian Cloud Computing Risks in 2020

Cross border risks were once one of the major concerns for organisations in Australia looking to put their sensitive data on the cloud. Where would my...Read More

How is AI and IoT Changing the Retail Industry? (Part 2)

How is AI and IoT Changing the Retail Industry? (Part 2)

We previously wrote about how AI and IoT are transforming retail analytics. We discussed how new analytics options are being made available to...Read More

How is AI and IoT Changing Retail Analytics for Physical Stores?

How is AI and IoT Changing Retail Analytics for Physical Stores?

Physical inventories and bricks-and-mortar stores are not immune to being affected by advances in retail analytics. IoT and AI in retail are opening up new...Read More

Why do you need a Real-Time Recommendation System?

Why do you need a Real-Time Recommendation System?

Streaming data analytics systems are being implemented to meet the specific challenges of real-time data mining and processing. Real-time recommendations are...Read More

What is the Difference Between Real-Time and Streaming Analytics?

What is the Difference Between Real-Time and Streaming Analytics?

Having precise data is valuable for any organisation. However, its utility can be limited unless it is timely, representing the most up-to-date snapshot...Read More

5 Good Data Governance Principles

5 Good Data Governance Principles

Companies are, more than ever, aiming to be “data driven” and for good reason. According to a PwC survey companies that implement a successful data...Read More

Microsoft Power Platform is a Business Force Multiplier

Microsoft Power Platform is a Business Force Multiplier

The three parts of Microsoft’s Power Platform have been taking shape in their own way for some time now, Power BI, Power Apps and Power Automate...Read More

What is the difference between an OLTP database and an OLAP  data warehouse?

What is the difference between an OLTP database and an OLAP  data warehouse?

There might not seem like there is a big difference between a database and a data warehouse. However, don’t be tempted to use those terms...Read More

How to implement a Data Governance Framework and Maturity Model

How to implement a Data Governance Framework and Maturity Model

A good data governance framework is a desirable aim for any organisation, but the path to establishing and quantifying it can be unclear. When it comes...Read More

What is Data Stewardship and how does it Contribute to Data Governance?

What is Data Stewardship and how does it Contribute to Data Governance?

Data Stewardship is a vital part of Data Governance. It represents the allocation of specific roles and responsibilities within and organisation in order...Read More

Customer Churn Prediction and Prevention

Customer Churn Prediction and Prevention

Customer churn, also known as customer attrition or customer drop-off, is the process by which an individual who was formerly a repeat or subscription user,...Read More

What are the NLP Sentiment Analysis Basics?

What are the NLP Sentiment Analysis Basics?

NLP sentiment analysis (Natural language processing) is a challenging but increasingly viable prospect for business, especially for sales and marketing....Read More

Why is a Single Customer View and a Customer Data Platform a Big Deal?

Why is a Single Customer View and a Customer Data Platform a Big Deal?

Smarter database design and improved validation helps with data stewardship. However, a more ambitious approach would involve an ongoing Customer Data...Read More

The Costs of Data Redundancy and Data Inconsistency

The Costs of Data Redundancy and Data Inconsistency

Even modestly sized organisations can suffer from customer data fragmentation, leading to data redundancy and inconsistency. Users are providing their...Read More

Why you Shouldn't Perform Financial Planning in Excel Spreadsheets

Why you Shouldn't Perform Financial Planning in Excel Spreadsheets

A large number of companies use Excel spreadsheets as a all-in-one solution for financial planning and forecasting. The unintended consequences of this...Read More

How can you Establish a Good Data Lake Governance Strategy?

How can you Establish a Good Data Lake Governance Strategy?

Good Data Lake Governance strategy is a vital part of maintaining a healthy and well-functioning data ecosystem in your organisation. To properly...Read More

Under the Hood of AI Document Classification

Under the Hood of AI Document Classification

As introduced in our previous post, AI for document processing is a potentialtool in streamlining workflows, minimising delays and reducing the...Read More

How do you solve a Document Processing Bottleneck?

How do you solve a Document Processing Bottleneck?

Document processing is usually the lifeblood of an enterprise workflow. Whether they’re physical, digital, standardised, structured, or unstructured,...Read More

Challenges in productionising machine learning models

Challenges in productionising machine learning models

There are three main steps in productionising a machine learning model: Getting the data into the model Running the model algorithm against the data Taking...Read More

Analytics scope creep and why it’s a good thing.

Analytics scope creep and why it’s a good thing.

We’ve all been there: you’re on track to deliver your amazing Analytics project and the business changes their mind. The user acceptance criteria...Read More