Data Analytics in the Insurance Industry

Featured Articles

At AlgoTactica, we specialize in effective research that will yield the best possible results. Our Featured Articles have been carefully investigated and cross-referenced with multiple sources, in order to deliver insightful and representative content.

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Data Analytics in the Insurance Industry

By using big data technologies, insurance companies are able to more accurately cover new areas of risk, develop personalized insurance products, and offer better advice on loss prevention.

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Big Data in the Banking Industry

In the modern business environment, banks deal with a broad customer base and generate large volumes of data that are impossible to process using traditional methods.

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Data Analytics in the Airline Industry

The airline industry is a very difficult business domain, where competition is extremely intense and profit margins are quite narrow, estimated to be as low as 1% for some cases.

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Electrical Utilities and Big Data

In recent years, the electrical utilities industry has been undergoing a transformation brought about by significant investment in smart metering and smart grid technologies.

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Data Analytics for the Grocery Industry

In a challenging retail market, the goal of grocery stores is to remain competitive while increasing overall sales and revenue, along with margins of profitability.

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Developing a Customer 360 View

The Customer 360 view must present a decision journey map of each individual, revealing the evolution of their purchasing attitudes and preferred marketing channels.

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Natural Language Processing Explained

Natural Language Processing (NLP) refers to the application of linguistic principles, statistical and machine learning methods, as well as computer software techniques, in the analysis of textual content.

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Streaming Analytics Explained

Streaming data is comprised of numerous high-speed data channels delivering sequences that are generated continuously by thousands of individual sources.

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Using Predictive Analytics for CRM

Customer Relationship Management (CRM) programs that are guided by algorithmic science yield optimized results, due to their ability to deliver relevant advertising and accurately anticipate customer needs.

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Unstructured Data Summarized

Unstructured data does not adhere to any format that defines how it could be systematically read or interpreted. However, it is an information source that comprises up to 80% of a typical company’s total data.

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Social Media for Demand Sensing

Anticipation of future demand levels requires access to a vast array of data. In recent years, a new source of demand sensing indicators has emerged in the form of social media channels.

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Sentiment Analysis Explained

Sentiment Analysis, also known as opinion mining, refers to the process of computationally identifying and categorizing opinions, appraisals, and emotions expressed in a section of text.

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Big Data in the Hospitality Industry

Hotel operators juggle many priorities in order to manage a fine balance between service excellence and profit optimization. Valuable insights can be achieved from analyzing the data generated by each guest visit.

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A Summary on Time Series Analysis

Time Series Analysis (TSA) provides insight into how an economic or business variable evolves over time, individually as well as in the context of other influential factors in its environment.

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Advantages of Predictive Marketing

Predictive Marketing strives to anticipate what each customer’s next need or wish likely is based on an in-depth understanding of his or her relationship with your business.

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Selecting a Data Science Provider

Those wanting to focus on running their business may prefer working with an external provider. Begin by determining which business questions need to be to addressed and the level of professional support needed.

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Big Data for Small Businesses

Engaging in analytics-driven decision strategies is a wise practice for today’s business operator. By using the right tools and data, it is possible to realize significant value through optimization of customer satisfaction.

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Predictive Model Factories Explained

Businesses today are routinely acquiring vast amounts of data, often from a broad range of sources. Such data acquisition provides an opportunity for unprecedented insights into growth and profitability.

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When Do I Use External Data Scientists?

Organizations that have realized value from using spreadsheets and other analytical methods understand the impetus to accomplish even more with the data sources available.

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Managing Scattered & Incomplete Data

First, determine which data sets are relevant to the analytics requirements, and identify the types of data formats that are represented, as well as the locations of isolated silos in which the data is stored.

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