In this whitepaper Rob Jones explains exactly why analysing your data landscape prior to starting your project is so important. Download to find out what steps to take in order to analyse your data landscape in readiness for your data project.
Poor quality data can affect many different areas of your business. Efficiency can be stifled, reporting inaccurate, customer relationships compromised, and decisions made based on that data become the wrong decision. Yet, on average, organisations believe 32% of their data is inaccurate. This whitepaper explores how data distrust can affect different areas of your business and what you can do to fix this.
In today’s competitive landscape, business intelligence (BI) can be invaluable in delivering better business insights and helping you to make informed, data-driven decisions. So valuable is BI that Gartner predicts the industry will grow to $29.48 billion by 2022. This whitepaper explores how to use BI to improve your customer experience. With a focus on the software Sisense, it includes six real life examples of how your data could be the key to improving your customer experience.
Modern Data Warehouses (MDW) have been around for years, but they have not always been very accessible. In the past, data warehouses tended to be highly technical and only seen as an operational tool. Because of this, you usually needed a data scientist or someone with technical skills to develop, implement and then manage it.
Did you know that according to Experian, due to issues with data migration, only 46% of all new database implementation are delivered on time? Or that an incredible 74% of projects go over budget?