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Showing 12 of 256 blog posts
Top 3 Reasons Why Data Governance Strategies Fail
Data Governance is a policy, not a solution. It nests within any organization that has deployed business analytics as part of its overall strategy – in fact, one of the reasons for data governance failure is that it is not being aligned with an enterprise’s business strategy.
The Challenge of Dirty Data
Dirty data can also lead to system inefficiencies and negatively affect productivity. All of which will eventually strain your Enterprise’s operational costs.
How to Get Insights from Customer Data Platform (CDP)?
The customer data platform (CDP), along with the predictive model, provides valuable insights to combine your data and provide a single customer view of your customer journey. Know how to get actionable insights from customer data platform development.
The Growing Importance of Data Cleansing
Data cleansing is the process of deleting incorrect, incorrectly formatted, and incomplete data within a dataset, which can lead to false conclusions and even cause even the most sophisticated algorithm to fail.
The Definitive Guide To Data Ingestion in Business
Data Ingestion is the process of pulling data from sources into a single system to support BI and data analytics reporting programs.
How to Integrate Lightspeed Retail POS With CDP
Integrate a CDP with Lightspeed Retail POS to find customers’ digital behavior and in-store actions.
How to Build A Right Prospects List for Your Business
A prospect list is a catalogue of people or companies most likely to benefit from the products or services.
Predictive Analytics in Sports: A Growing Business
Predictive analytics in sports games are methods for gathering information about where, when, and how sports fans engage with sports and for understanding campaigns.
Use of Artificial Intelligence (AI) in Customer Interaction
Artificial Intelligence (AI) is back in the headlines, as most companies like Amazon, Google, Facebook, and Microsoft have started using it.
The Upsurge in Use of Data Catalog
A data catalog is a way to record databases across an enterprise, add descriptions (metadata), and so on. Rather than having to “find” the relevant data in an enterprise-wide Hadoop implementation, such catalogs allow users to locate the source of the information they want quickly.
Role of Artificial Intelligence in Online Shopping
Learn how Artificial Intelligence in online shopping helps brands predict customer needs, personalize journeys, and increase conversions in real time.
How Machine Learning is Changing the World of Dynamic Pricing
Dynamic pricing is a tactic many retailers are using to adjust product prices in real time based on supply and demand. It’s a far cry from the old days when the cost of almost anything, be it goods or services, was “fixed” (or static), perhaps for months, if not years.
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