Telling Intelligent, Actionable, and Valuable Stories from the Data
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The New Challenge is to leverage Intelligent, Actionable, and Valuable Stories from the Data. This will Create a Profitable and Sustainable Advantage over the Market Forces, including Competitors.
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Telling Intelligent, Actionable, and Valuable Stories from the Data
- 1. Mota, Flavio The Background In light of the recent explosion of the popularity of analytics, a new challenge has surfaced. That challenge is telling smart and actionable stories from the data. This challenge includes the use of simplicity, visualization, data analytics, and human intelligence. Companies that have people who have mastered this art have a profitable and sustainable advantage to overcome the market forces, including competitors. Single Element Profiles Profile One The Story Are we able to reduce the discounts to increase the bottom line? (Are we giving money away and diminishing our brand?) We need to focus on service, quality, and reputation instead of giving so many discounts. Market Africa Asia Paciļ¬c Europe LATAM USCA 0 500 1000 1500 2000 2500 Discount Sheet 21 Market Africa Asia Paciļ¬c Europe LATAM USCA Sum of Discount for each Market. Color shows details about Market.
- 2. Profile Two The Story Sales amount to $12,575,574. But the profit is only $1,449,640. Find a way to minimize costs to increase the profit. (Profit is 11.523% of Sales.) Can we use predictive analytics to upsell and cross-sell to the customers? That will increase sales and profits. How can we reduce expenses to increase profit? Discount Number of Rec.. Proļ¬t Quantity Sales Shipping Cost 0M 1M 2M 3M 4M 5M 6M 7M 8M 9M 10M 11M 12M 13M ValueSheet 16 7,330 12,575,574 Measure Values Discount, Number of Records, Proļ¬t, Quantity, Sales and Shipping Cost. Color shows Discount, Number of Records, Proļ¬t, Quantity, Sales and Shipping Cost.
- 3. Profile Three The Story Why are so many states losing money? Letās use predictive analytics to pinpoint the problem and bring the red states to profitability. (Perhaps more training and support are needed in the red states.) Sheet 11 -99,908 99,908 Map based on Longitude (generated) and Latitude (generated). Color shows sum of Proļ¬t. Details are shown for State and State.
- 4. Profile Four The Story How are the top producers so profitable and selling so many units? Is stronger leadership needed to guide the lower producers to higher profitability (and to sell more units)? Letās use data analytics to implement training and performance metrics to increase the bottom line. Person Gilbert Wolļ¬ Hadia Bousaid Chandrakant Chaudhri Nicodemo Bautista Kauri Anaru Derrick Snyders Dolores Davis Miina Nylund Oxana Lagunov Gavino Bove LindiweĀ Afolayan Flannery Newton Lon Bonher AndileĀ Ihejirika MarilĆØne Rousseau Vasco MagalhĆ£es Nora Cuijper WasswaĀ Ahmed Preecha Metharom Cansu Peynirci Katlego Akosua Kaoru Xun -100K 0K 100K 200K 300K Proļ¬t 0K 5K 10K 15K 20K Quantity Sheet 9 Proļ¬t and Quantity for each Person.
- 5. Profile Five The Story Why is the Tables Category losing money? Should we eliminate that category? Letās use impactful sales training, along with performance metrics, and strong leadership to cross-sell the profitable customers (i.e. customers who buy Copiers, Phones, and Bookcases) other items like Accessories, Paper, and Envelopes. This will increase profits. Conclusion Telling insightful and intelligent stories from the data involves data analytics, human intelligence, and experience. A 360-Degree data approach needs to be used; use all of the available information. Sharing the smart and valuable insights in a story-like fashion is one of best approaches to implement the actionable insights. Sub-Catego.. -80K -60K -40K -20K 0K 20K 40K 60K 80K 100K 120K 140K 160K 180K 200K 220K 240K 260K Proļ¬t Tables Fasteners Labels Supplies Envelopes Furnishings Art Paper Machines Binders Storage Accessories Appliances Chairs Bookcases Phones Copiers Categories Sum of Proļ¬t for each Sub-Category.