Discussion

Implementing a "Data" Strategy

A 2017 HBR article states: Among other benefits, having an effective "data" strategy promotes improved revenue, pricing and operating expenses, aids in the creation of new products and services, streamlines business processes, aids in the development of insight through analytics and generates ROI on Big Data and infrastructure. But,

Cross-industry studies also show less than 1/2 of many organizations' structured data is actively used.
Less than 1% of unstructured data is analyzed or used at all.
More than 80% of analysts’ time is spent simply preparing data.
Many companies lack a coherent strategy to organize, govern, analyze and communicate "targeted" information.

Data are just numbers until they are in the right hands.

DatabaseDNA delivers more than analysis — we put decision-shaping insight into the hands of the people who matter.

Whether your goal is to expand market share, reduce risk or expose hidden inefficiencies, our proprietary methods translate your data into insight with clear, actionable paths forward.

Let your vision lead. DatabaseDNA will provide the narrative your data have been trying to tell.

Learn more

Improve Collection Methods

Point of Sale (POS) and order data entry are critical "front-end" factors in an information strategy. Some thoughts:

Are sales and data entry personnel capturing data so that marketing and operations can expolit data in their decision-making process?
Have sales, marketing, finance or product management provided input to ERP to effectively and accurately capture data? What contribution to data governance have they been afforded?
Has the organization identified which elements are included in a governance plan?
Is a QC /data audit process in place?
Has management engendered a data quality culture?

Ensure Effective Categorization

Information system (substance) design

based on initial data evaluation/analysis

As part of a data audit process and governance:

Has the firm developed and standardized processes to avoid data corruption? (For instance, applying consistent formatting, avoiding placing the wrong elements in an ERP field, failing to use a common denominator to identify a record across different sales, finance and marketing tables.)
Is there "tribal" data with individual spread sheets or databases that can be effectively integrated into the ERP systems? Is there a process to determine what if any data is im-portant to an understanding of the business?
Is there routine cross-functional input and examination when evaluating all of the above?

Design and Execute an Information Strategy

DatabaseDNA will guide you through this transformation / enhancement process:

Which lends itself to smart, graphic visualizations, across multiple factors, of "what's important to know."
It encourages and supports cross functional management's input with a "DNA" of an enterprise' database(s).

With 20 plus years of experience in qualitative and quantitative research and analysis, database structuring and analysis, information auditing, sales operations and strategy and resource re-allocation, we can develop information models and processes with lessons learned from the development and executed solutions of:

New business and market penetration.
CRM, cross-sell and upsell and sales closure.
Business acquisition, change management and transformation.

Improving process and information-based policy development, decision-making and execution.

Discussion

Implementing a "Data" Strategy

"Informationalization"

Improve Collection Methods

Ensure Effective Categorization

Design and Execute an Information Strategy