Try it out yourself!
Pure visualization - FREE personal edition of SAP Lumira: http://bit.ly/personallumira
30-day trial for Predictive Analysis (including Lumira): http://bit.ly/PA-test
Today, finance departments are challenged to play a more strategic role in their company. This means shifting the focus from executing rote tasks to providing greater analytical and forward-looking support to other parts of the organization. Moreover, there has been an increase in business regulation in the United States over the past Ventana Research Value Index: Financial Performance Management 2013 several years, while worldwide all companies are having to adapt to converging accounting standards. Information technology – and FPM software suites in particular – help finance executives make the transition to a more strategic role and meet the evolving challenges finance departments face.
Today, finance departments are challenged to play a more strategic role in their company. This means shifting the focus from executing rote tasks to providing greater analytical and forward-looking support to other parts of the organization. Moreover, there has been an increase in business regulation in the United States over the past Ventana Research Value Index: Financial Performance Management 2013 several years, while worldwide all companies are having to adapt to converging accounting standards. Information technology – and FPM software suites in particular – help finance executives make the transition to a more strategic role and meet the evolving challenges finance departments face.
Today, finance departments are challenged to play a more strategic role in their company. This means shifting the focus from executing rote tasks to providing greater analytical and forward-looking support to other parts of the organization. Moreover, there has been an increase in business regulation in the United States over the past Ventana Research Value Index: Financial Performance Management 2013 several years, while worldwide all companies are having to adapt to converging accounting standards. Information technology – and FPM software suites in particular – help finance executives make the transition to a more strategic role and meet the evolving challenges finance departments face.
How can we transform your industry with new technologies like Burberry is doing in Retail ? First and foremost, you need to overcome the issues caused by the current database landscapeOver the years unplanned growth in transactional databases and associated systems have complicated data infrastructure. As variety of data sources with growing volume are increasing, it is causing severe latency issues. Data once generated from transactions gets replicated to several locations for reporting. It gets processed for various end systems for analytics. This proliferations of data through various stages and processes has significantly increased latency resulting in slow response. As data from different sources is simultaneously pushed to the users, it results in usability issues.The overall architecture is extremely complex to manage given limited resources. This not only increases the risk of data management, such as security, privacy & availability. More data get dispersed, higher the risk. McKinsey report: United States alone faces a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts to analyze big data and make decisions based on their findings
Today, finance departments are challenged to play a more strategic role in their company. This means shifting the focus from executing rote tasks to providing greater analytical and forward-looking support to other parts of the organization. Moreover, there has been an increase in business regulation in the United States over the past Ventana Research Value Index: Financial Performance Management 2013 several years, while worldwide all companies are having to adapt to converging accounting standards. Information technology – and FPM software suites in particular – help finance executives make the transition to a more strategic role and meet the evolving challenges finance departments face.
Predicting the future of predictive analytics Finance (50%; 47%), Sales (UK 45%; USA 52%) and Marketing (42%; 53%) are expected to benefit most from the effective use of predictive analytics The business as a whole (70%; 67%) is agreed to be the best driver of predictive analytics for optimal use in an organisationPredicting customer needs (80%; 90%) and market trends (78%; 90%) are seen to be valuable scenarios for which to use predictive analytics
Load data directly from you CO-PA tables in HANA, from any database or simply from text files
In this case: CO-PA data from HANA (CO-PA Accelerator)
Instantly see the data imported and select columns needed
See data stacked by dimension
Instantly see you data – in this case as bars over the months
Add planned profit, potentially imported from SAP BPC or the planning tool of your choice. Pull it directly from HANA if you’re running on BPC10 NW, HANA edition
Move to the “predict” tab on the top, and start your calculations
Better filter as you don’t need all of your data, so you can focus on the important
In this case select the time range you want to focus on.
We’d want to predict profit based on historic values using a standard algorithm delivered through Predictive Analysis. More algorithms can be found in the (optional) HANA Predictive Algorithm Library (PAL) or imported from open source “R” libraries
Select the measure that you want to calculate (in this case PROFIT) and the number of base periods you’d want to calculate (12 MONTHS in this case)
And see the results instantly.
Including the predicted 12 months into the future
Visualization as a chart through he powerful capabilities of the visualization engine…
Or like here as visualization through (SAP Lumira, aka Visual Intelligence) showing ACTUALS and the forecasted profit
It gets really interesting if you add the PLAN values and see the discrepancy between the PLAN and the predicted FORECAST
Modify the chart type and you can instantly figure the shortfall in PROFITS to be expected over the next months. Take action and revise your plan!
Visualizing the baseline (2007), the trend (2008-2010) and the predicted forecast (2011) in one grafic
Add external data to your analyses and calculations. IN this case we add population, imports, exports, unemployment rates, gas prices and some others to figure if there is a correlation between those indexes and our profits
Let the system do the merging work – in this case we have a matching dimension TIME
The data is now enriched with the external data that we uploaded. You can download this kind of data from public sources.
Write the new data set into a new flat file if you want.
Again, filter to the relevant dimension members if needed.
Leverage an “R” calculation model to find correlations between the external data dimensions (oil price, unemployment rate etc) and your PROFIT. This calculation is done in real time in the HANA box if you want, and again, no scripting needed.
Table view of the newly calculated data
Switch to the integrated data table view
And visualize the correlations between the dimensions, in this case gas price, unemployment rate and oil price
To add the profit in correlation to gasprice
Profit in correlation to XYZ (does this resonate? Should be UNRATE or something, right?)
Or visualize the elasticity of profit based on changes in oil price as an example (with the size of the bubble indicating the profit in a month)
Powerful predictive models include clustering: standard algorithms to be leveraged in order to find out about groups with similarity in certain dimensions
Definition of the calculation: input dimensions and number of wanted clusters. The complex calculation method is hidden from the user as this is an end user experience – no PhD needed
Results shown as a table
Results shown as a visualization. Note: top right grafic shows a relatively high density in cluster 4 with 40 occasions
Modifying the slider bottom left to cluster 4 shows that this is the most profitable cluster
Change the variable in the bottom left grafic to margin you can also see the margin contribution per cluster and analyze….
Analyze your profitable cluster 4 – in this case per country and customer in that cluster to take action
Now you want to analyze how the cluster 4 was created with a decision tree. Again: let the system do it for you, just choose the contributing factors from this definition wizard.
And show the decision tree: seeing that profit is above 151243 (in 57.53% of all cases), from a certain region….