Bad data kills good decisions. AI can fix that. From cleansing and validation to enrichment and structure, here are five ways AI helps transform raw, messy data into clean, accurate, and insightful information.
When your data is fragmented, inconsistent, or incomplete, every decision you make rests on shaky ground. AI changes that. By automating data cleansing, enrichment, and validation, it transforms raw, unstructured information into a reliable foundation for forecasting, reporting, and smarter business decisions.
1. Data Cleansing with AI
- Removing Duplicates: AI can identify and assist in merging or removing duplicate records, ensuring a single, accurate view of each customer.
- Correcting Errors: AI can detect and correct typos, misspellings, and inconsistencies in data fields.
- Handling Missing Values: AI can impute missing values based on patterns and relationships within the data.
- Standardizing Formats: AI can standardize data formats (e.g., dates, addresses, phone numbers) to ensure consistency.
2. Data Deduplication and Matching:
- Semantic Entity Matching: AI algorithms can perform semantic matching which compared to "fuzzy matching", that only identifies records that are similar but not identical, can match on Semantics – one example could be to identify a match between ABB AB and Asea Brown Boveri AB.
3. Data Enrichment with AI
- Adding Missing Information: AI can enrich data by adding missing information from external sources, such as demographic data, firmographic data, or social media profiles.
- Inferring Insights: AI can infer insights about customers based on their behavior and interactions, such as their interests, preferences, and purchase intent.
Did you know that we are launching our service Exelement EI. An AI service customized to your needs. It combines first-party, third-party, and web data, to automatically enrich and organize records. Exelement EI helps sales reps prepare before meetings or outreach, improving inbound, and outbound performance.
Contact us for a quick introduction to Exelement EnrichAI.
4. Data Validation with AI
- Verifying Accuracy: AI can verify the accuracy of data by comparing it to external sources or using predefined rules.
- Detecting Anomalies: AI can detect anomalies and outliers in the data, which may indicate errors or fraudulent activity.
5. Data Transformation with AI
- Organizing and Structuring: AI can organize and structure unstructured data, such as text or images, into a format that can be easily analyzed.
- Categorizing and Tagging: AI can automatically categorize, and tag data based on its content, making it easier to search and filter.
Did you know we have built a Service for Marketo – a “Marketo Self Service Flow Step” that leverages AI to interpret the form submission and categorizes the submission based on the comment from the submitter. Contact us for a quick demo.
In the context of sales forecasting, AI can "fix" data by:
- Ensuring that customer data is accurate and complete.
- Identifying and correcting errors that could skew forecasting models.
- Enriching data with relevant information that can improve the accuracy of predictions.
- Analyzing historical sales data and finding patterns that humans might miss.
Essentially, AI helps transform raw, messy data into clean, accurate, and insightful information that can be used to make better business decisions. And yes, we can help you develop and implement all of the above.
