Abstract-The objective of designing a strategy for an institution is to create more value and achieve its vision, with clear and coherent strategies, identifying the conditions in which they are currently, the sector in which they work and the different types of competences that generate, as well as the market in general where they perform, to create this type of conditions requires the availability of strategic information to verify the current conditions, to define the strategic line to follow according to internal and external factors, and in this way decide which methods to use to implement the development of a strategy in the organization. This research project was developed in an institution of higher education where the strategic processes were analyzed from different perspectives i.e. financial, customers, internal processes, and training and learning using business intelligence tools, such as Excel Power BI, Power Pivot, Power Query and a relational database for data repository; which helped having agile and effective information for the creation of the balanced scorecard, involving all levels of the organization and academic units; operating key performance indicators (KPI's), for operational and strategic decisions. The results were obtained in form of boards of indicators designed to be visualized in the final view of the software constructed with previously described software tools.

The information systems are fundamental to perform the daily activities of any organization. There is an increasing dependence on organizations to use information technology to achieve their objectives. This article presents the web information system that has been developed and implemented as support to manage the administrative services needs required by the citizens of the municipality of Sabinas Coahuila, México, seeking to be served in the best way and to obtain information from Faster and reliable way to follow up. Previously we worked manually, keeping the records in a format in Microsoft Excel. For the development of the system the agile XP methodology was used. The creation of the database was in MySQL and the development in Visual Studio 2015, the part of web programming in ASP .NET and programming in C #. With the implementation of the system, there is currently electronic control of the requests made by citizens, providing integrity, availability and confidentiality of information; at the same time, streamlining the process of capturing and receiving applications in each department of the municipality of Sabinas, Coahuila, Mexico. In addition, the system provides statistics of the requests that were attended, those that are in process and those that were not attended.

<p><strong>OBJECTIVE </strong></p> <p>To examine the role of glycemic measures performed during childhood in predicting future diabetes related nephropathy and retinopathy in a high-risk indigenous American cohort. </p> <p><em><strong>RESEARCH DESIGN AND METHODS</strong></em></p> <p>We studied associations between glycated hemoglobin (HbA1c) and 2-hour plasma glucose (2-hr PG), measured during childhood (5-<20 years) in a longitudinal observational study of diabetes and its complications (1965-2007) with future albuminuria [Albumin creatinine ratio (ACR)≥30 mg/g], severe albuminuria (ACR≥300 mg/g), and retinopathy (at least one microaneurysm or hemorrhage or proliferative retinopathy on direct ophthalmoscopy). Areas under the ROC curve (AUC) for childhood glycemic measures when predicting nephropathy and retinopathy were compared. </p> <p><strong>RESULTS</strong></p> <p>Higher baseline levels of HbA1c and 2-hr PG significantly increased risk of future severe albuminuria [(HbA1c: HR=1.45 per %, 95% CI: 1.02-2.05) and (2-hr PG: HR=1.21 per mmol/L, 95% CI: 1.16-1.27)]. When categorized by baseline HbA1c, children with prediabetes had higher incidence of albuminuria (29.7 cases/1,000 PY), severe albuminuria (3.8 cases/1,000 PY) and retinopathy (7.1 cases/1,000 PY) than children with normal HbA1c levels (albuminuria: 23.8 cases/1,000 PY; severe albuminuria: 2.4 cases/1,000 PY; retinopathy: 1.7 cases/1,000 PY); children with diabetes at baseline had the highest incidence of the three complications<em>.</em> No significant differences were observed between AUCs for models with HbA1c, 2-hr PG, and FPG when predicting albuminuria, severe albuminuria, or retinopathy.</p> <p><strong>CONCLUSIONS</strong></p> <p>In this study, higher glycemia levels ascertained by HbA1c and 2-hr PG during childhood were associated with future microvascular complications; this demonstrates potential utility of screening tests performed in high-risk children in predicting long-term health outcomes.</p>

OBJECTIVE To examine the role of glycemic measures performed during childhood in predicting future diabetes-related nephropathy and retinopathy in a high-risk indigenous American cohort. RESEARCH DESIGN AND METHODS We studied associations between glycated hemoglobin (HbA1c) and 2-h plasma glucose (PG), measured during childhood (age 5 to &lt;20 years) in a longitudinal observational study of diabetes and its complications (1965–2007), and future albuminuria (albumin creatinine ratio [ACR] ≥30 mg/g), severe albuminuria (ACR ≥300 mg/g), and retinopathy (at least one microaneurysm or hemorrhage or proliferative retinopathy on direct ophthalmoscopy). Areas under the receiver operating characteristic curve (AUCs) for childhood glycemic measures when predicting nephropathy and retinopathy were compared. RESULTS Higher baseline levels of HbA1c and 2-h PG significantly increased the risk of future severe albuminuria (HbA1c: hazard ratio [HR] 1.45 per %; 95% CI 1.02–2.05 and 2-h PG: HR 1.21 per mmol/L; 95% CI 1.16–1.27). When categorized by baseline HbA1c, children with prediabetes had a higher incidence of albuminuria (29.7 cases per 1,000 person-years [PY]), severe albuminuria (3.8 cases per 1,000 PY), and retinopathy (7.1 cases per 1,000 PY) than children with normal HbA1c levels (23.8, 2.4, and 1.7 cases per 1,000 PY, respectively); children with diabetes at baseline had the highest incidence of the three complications. No significant differences were observed between AUCs for models with HbA1c, 2-h PG, and fasting PG when predicting albuminuria, severe albuminuria, or retinopathy. CONCLUSIONS In this study, higher glycemia levels ascertained by HbA1c and 2-h PG during childhood were associated with future microvascular complications; this demonstrates the potential utility of screening tests performed in high-risk children in predicting long-term health outcomes.