She turned to the backup plan: a temp extract. The data warehouse team had pushed the latest sales table to a BI schema the night before. Mara accessed the warehouse directly, armed with a SQL query she’d used before. The results streamed—rows of transactions, timestamps, territories. It wasn’t the interactive QlikView dashboard, but it was honest data, and honesty is a reliable ally.
First, she examined timestamps. The file’s last saved time matched her memory—yesterday evening, when she and Jonah had triple-checked the reconciliations. If the file was corrupted, where had it gone sideways? She remembered the warning icon Jonah’s external drive had flashed last week, the one he shrugged away. Memory is a ledger; small entries add up.
While her fingers flew through filters and aggregates, she sketched the layout of the missing visuals on a notepad—bar charts by region, a small table of top accounts, a KPI tile for gross margin. She opened a new spreadsheet and reproduced the most essential views with formulas and conditional formatting. It took twenty frantic minutes and a lot of caffeine, but she had a stopgap: a hand-crafted analytics snapshot that told nearly the same story.
After the meeting, with relief softening her shoulders, Mara went back to the office to close the loop. She uploaded her temporary workbook to the team drive, labeled it “Emergency—Use if QVW fails,” and left instructions so the next person wouldn’t have to rebuild in a rush. She filed a detailed incident report for IT: timestamps, client versions, a note about Jonah’s external drive warning. She labeled it practical, not petty.