HomeData scienceCan ERP Be the Solely Supply of Knowledge for Enterprise Intelligence?

Can ERP Be the Solely Supply of Knowledge for Enterprise Intelligence?

Primarily based on our 17 years of expertise in BI implementation, we developed a BI framework that permits using information for extra structured fact-based selections. The framework embraces 4 important elements: planning, plan execution, change evaluation and optimization. Let’s have a look at every part individually and examine whether or not the information in an organization’s enterprise useful resource planning (ERP) system is sufficient to get invaluable insights and which different information sources to show to if ERP information is inadequate or lacking.

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The planning part embraces development evaluation, forecasting, and efficiency evaluation.

Pattern evaluation

Analyzing solely ERP information to determine traits can lead to deceptive insights. As an example, a producer sees no progress in shipments to a selected area and concludes that the scenario stays secure. In actuality, the demand for the producer’s merchandise on this area is growing. The ERP system doesn’t replicate this development because it’s unaware of unmet demand: the enterprise is working at its full capability and efficiently promoting all the pieces it produces. Nonetheless, if the producer turned to their CRM information, they’d discover there the elevated variety of misplaced alternatives with ‘No product out there’ clarification.


We don’t assume that an ERP system is sufficient for forecasting. Say, to predict buyer demand, information from inside and exterior sources is required, akin to detailed gross sales historical past (ERP and POS programs), a buyer’s location and kind (CRM), climate circumstances or social media traits (exterior sources).

Efficiency evaluation

Inside benchmarking additionally requires not solely ERP information. For instance, to determine their top-selling shops, a retailer ought to analyze gross sales values taken from a POS system, in addition to take into account the gross sales ground space and the variety of out there checkouts, which could be saved of their ERP.

Plan execution

ERP information could also be sufficient to investigate the efficiency towards the plan and spot deviations. Nonetheless, to run root trigger evaluation, an organization typically must transcend ERP information. Say, if a producer has failed to realize their manufacturing plans, they could discover the explanation within the disrupted deliveries of uncooked supplies by a few of their Tier 1 suppliers. To get to those particulars, a producer has to show to SCM (provide chain administration) information.

Change evaluation

ERP could be one of many information sources for change evaluation. It’s wonderful to conduct ROI evaluation, as funds and property are tracked in an ERP system. Alternatively, ERP information gained’t assist in analyzing the impact of redesigning an organization’s on-line retailer, whereas the information (i.e., product lists, footage, descriptions and guests’ search and buy histories) from a content material administration system and an e-commerce answer will likely be required for this goal.


We don’t suggest corporations to rely solely on ERP information in the event that they problem themselves with enterprise course of optimization. Take asset administration for instance: ERP is more likely to include simply equipment title, buying date, and worth. If an organization strives to make use of their equipment effectively and cut back total prices by preventive and even predictive upkeep, they should know tools utilization and upkeep schedules. And this data is often saved in an MES (manufacturing execution system) or devoted tools utilization software program.

To sum it up

Although ERP is a crucial supply of information for BI, we don’t suggest embedding enterprise intelligence into ERP. BI can solely deliver worth when it’s on high of all the corporate’s functions, akin to ERP, CRM, SCM, CMS, MES, and POS, and when it makes use of exterior information sources.

BI experience since 2005. Full-cycle companies to ship highly effective BI options with wealthy evaluation choices. Iterative growth to deliver fast wins.

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