Future of Marketing

FUTURE OF DI

Today, the hype surrounding data analytics has converted into real, documented returns for companies of all sizes and across all industries. Many companies have achieved double-digit returns on their investments in analytics for several years now. Partly because of this, the software analytics space is more crowded than it has ever been. Standard ETL-solution providers are adding analytics to their multitude of offerings. Many of these new players in the Master Data Management (MDM) field have BI platforms that combine integration, preparation, analytics and visualization with governance and security features. Such standard analytics processes as column dependencies, clustering, decision trees, and recommendation engines are all included in many of these new software offerings.

Instead of forcing clients to purchase modules on top of modules on top of modules, new software companies are creating packages that contain many built-in analytical functions. Thanks to built-in connectors, open source products like R, Python, and the WEKA collection can easily be slotted into many of ETL, MDM, BI, CI, CX and MA software solutions, thereby reducing costs and the need for expensive translation layers.

Descriptive

Descriptive analytics is a preliminary stage of data processing that creates a summary of historical data to yield useful information and possibly prepare the data for further analysis. Data aggregation and data mining methods organize the data and make it possible to identify patterns and relationships in it that would not otherwise be visible. Querying, reporting and data visualization may be applied to yield more insight. Descriptive analytics is sometimes said to provide information about what happened. Seeing an increase in Twitter followers after a particular tweet, for example.

Diagnostic

Diagnostic analytics is a form of advanced analytics that examines data or content to answer the question, “Why did it happen?” It attempts to understand causation and behaviors by utilizing such techniques as drill-down, data discovery, data mining and correlations. Building a decision tree atop a web user’s clickstream behavior pattern could be considered a form of diagnostic analytics as these patterns might reveal why a person clicked his or her way through a website. Diagnostic analytics takes a deeper look at data to attempt to understand the causes of events and behaviors. 
 

Predictive

Predictive analytics is an area of data mining that deals with extracting information from data and using it to predict trends and behavioral patterns. Predictive analytics is the use of statistics, machine learning, data mining, and modeling to analyze current and historical facts to make predictions about future events. Predictive analytics is an area of data mining that deals with extracting information from data and using it to predict trends and behavioral patterns. Often the unknown event of interest is in the future, but predictive analytics can look into past behavior as well.

Prescriptive

Prescriptive analytics tries to optimize a key metric, such as profit, by not only anticipating what will happen, but also when it will happen and why it happens. Prescriptive analytics suggests decision options on how to take advantage of a future opportunity or mitigate a future risk and shows the implication of each decision option. Prescriptive analytics can continually ingest a mixture of structured, unstructured, and semi-structured data to re-predict and re-prescribe, thus automatically improving prediction accuracy and prescribing better decision options every minute of every day.
 

ANALYTICAL MODELING

Intelligencia can implement complex analytics solutions from the ground up, remotely, or at your location. We help businesses understand their data in ways that will simplify their analytics journey as well as help with data governance. Our experienced architects, data integration experts, and experienced modelers can build and maintain models to ensure they are up-to-date and capturing the most relevant business data.

SERVICES

Intelligencia's consultants can help you get your data house in order, then work with your team to build the models, or we can build them alone, then deploy and maintain them on your systems. Or ours. The choice is yours.

Intelligencia

We are here to help you navigate the complex world of analytics, AI, BI, CX, Cloud, DI, digital marketing, and social media implementations, showing you how open source technology can, potentially, augment your current software footprint and reduce cost. We understand ROI is king, above all else.

Connect

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Phone: +852 5196 1277 (HK)

Phone: +853 6616 3313 (Macau)

Email: support@intelligencia.co

Website: www.intelligencia.co

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