Predictive analytics

Predict future events, values or behaviors using predictive Analysis enable organization to make decisions and forecast its implications

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About

Predictive Analysis is important because it assures businesses that their decisions will be made based on actual data and not merely assumptions It , therefore it reduce risk, enhance productivity and efficiency, and cut costs

features

Used in a wide variety of industries

Business as sales forecasts, budget planning, inventory planning

Lead generation

Enhanced marketing efforts, targeted to specific customers

Descriptive Analysis

Describe the historical data in an organized form

Enhance marketing effort

Target customers, Lead generation , Identification of growth opportunities, Improved content marketing and distribution

Make evidence-based decisions

Imagine the possibilities for your business if you’re able to use predictive analytics to make evidence-based decisions in these areas instead of relying on gut feeling

Predictive analysis

Artificial intelligence technologies are used in predictive analyzes, as artificial intelligence techniques have proven to be significantly more independent in decisions in the field of predictive analysis

Reliability

Information about conditions can be extracted by measuring data at various time intervals -- e.g., hourly, daily, monthly, quarterly, annually or at any other time interval. Forecasts are the soundest when based on large numbers of observations for longer time periods to measure patterns in conditions.

Seasonal Patterns

Data points variances measured and compared from year to year can reveal seasonal fluctuation patterns that can serve as the basis for future forecasts. This type of information is of particular importance to markets whose products fluctuate seasonally, such as commodities and clothing retail businesses. For retailers, for instance, time-series data may reveal that consumer demand for winter clothes spikes at a distinct period each year, information that would be important in forecasting production and delivery requirements

Trend Estimations

As a linear model of analysis, the time series method can also be used to identify trends. Data tendencies reporting from time-series charts can be useful to managers when measurements show an increase or decrease in sales for a particular product or good

Growth

The time series method is a useful tool to measure both financial and endogenous growth, In contrast with financial growth, endogenous growth is the development that occurs from within an organization's internal human capital that can lead to economic growth. The impact of policy variables, for instance, can be evidenced through time series tests

How it works

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