Discuss what you see as the sponsor’s business objective, and answer the question “why is data useful in addressing that?”
- Discuss the business objective the data solves
- How is the data useful, and what specifically does it address regarding the business objective__
—Sponsor companies have their own goals and objectives when offering sponsorship, which can include the following:
- Lead generation
- Improving brand awareness
- Embracing a new role
- Standing out from the competition
- Gaining media exposure
- Extending their reach
- Driving more sales
The real key to success with sponsorship is finding the insights that connect consumers and businesses. The time, place, and feeling connect them and create preference, recognition, learning, and buying. When it works, we all get it. Sometimes we do not get it because we are not the target. Other times it is off the mark. It is like making a delicious meal, and most people can tell if it looks nice and tastes good. But, making the recipe, knowing the ingredients, and the proper preparation takes experience and a willingness to develop the insights that separate your deal from the crowd.
Business leaders in data-driven organizations understand the benefits of relying on data insights to make wise business moves. Data allows organizations to use evidence-based data to make decisions and plan carefully to pursue business objectives. Suppose business strategy provides a roadmap between your organization’s current and desired future state. In that case, data strategy offers a combination of mile markers, signposts, and a clear windshield through which to see them.
Specifically, data strategy serves three essential purposes in supporting both present and future business goals.
- Guiding decisions and actions to support your business goal
- Providing a feedback loop for your business strategy
- Uncovering new opportunities
Today, running a business with the help of data is table stakes. If we are not using data to uncover insights that will guide our business into the future, we will become a business of the past. Fortunately, the advances in data processing and visualization make growing the business with data more accessible than ever.
1) Grover, Varun, et al. “Creating strategic business value from big data analytics: A research framework.” Journal of Management Information Systems 35.2 (2018): 388-423.
2) Marinos, George. “The Information Supply Chain; Achieving Business Objectives by Enhancing Critical Business Processes.” Information Management 15.4 (2005): 20.
The sponsors business objectives is to assist their clients in realizing their full potential through data by enabling digital transformation, increasing operational efficiency, and increasing human productivity. The data used by the sponsors provided by various industries namely:
1. Banking and Finance
4. Government and Law
5. Transportation and Logistics
The above industries will have multiple use cases in their particular business and the docdigitizer will help them by providing professional services in implementing their solutions and execute strategies to program a challenging task. They suggest the clients in use of services like IDP ( Intelligent Document Processing) bundling with Robot Process automation and Business process modeling. The data solves various business problems such as the core features is to provide near 100% accuracy, no code data capture.
When utilizing IDP, there are two things to keep in mind. First and foremost, you must comprehend the technologies required to extract the relevant data from the document. It also relies on the type of data that is being extracted. Structured data necessitates less sophisticated technologies. Unstructured and partially structured data, on the other hand, necessitate more sophisticated tools.Second, take into account the data format. Paper documents, faxes, emails, and attachments, as well as MS Office files such as Word, Excel, PowerPoint, PDF, and others, may be received by an organization. And the information comes from a variety of sources and gadgets.An Intelligent Data Processing system should, in theory, recognize, classify, and extract important data before routing it to the appropriate document workflows for review.
Using IDP will benefit the client in following ways:
1. Cost Optimization
3. Error Prevention
4. Increased productivity
5. Optimized data integration
Tavares, R. (2021, December 16).
Intelligent Document Processing
W. (2022, March 21).